CITACE (bez autocitací) k 04. 01. 2010
NOVOVIČOVÁ Jana
1196 (1183 zahraničních, 13 ČR)
A -- http://portal.isiknowledge.com/portal.cgi?Init=Yes&SID=U2hCHEIgi95kb9iHA6P
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http://www.scopus.com/scopus/home.url
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CITATION:
FLOATING SEARCH METHODS IN FEATURE-SELECTION
PUDIL P, NOVOVICOVA J, KITTLER J
PATTERN RECOGNITION LETTERS
15: (11) 1119-1125 NOV 1994
Times Cited: 736 (572A + 164B)
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Niemeijer M, Abramoff MD, van Ginneken B
Fast detection of the optic disc and fovea in color fundus photographs
MEDICAL IMAGE ANALYSIS Volume: 13 Issue: 6 Pages: 859-870 Published: DEC 2009
Filipenkov NV
A method for finding smoothly varying rules in Multidimensional time series
COMPUTATIONAL MATHEMATICS AND MATHEMATICAL PHYSICS Volume:
49 Issue: 11 Pages: 1930-1948 Published: NOV 2009
Hsieh PF
Impact and realization of increased class separability on the small sample size problem in
hyperspectral classification
CANADIAN JOURNAL OF REMOTE SENSING Volume: 35 Issue: 3 Pages: 248261 Published: JUN 2009
Ruta, A., Li, Y., Liu, X.
Real-time traffic sign recognition from video by class-specific discriminative features
PATTERN RECOGNITION 43 (1), pp. 416-430, 2010
Zigel Y, Litvak D, Gannot I
A Method for Automatic Fall Detection of Elderly People Using Floor Vibrations and Sound-Proof of
Concept on Human Mimicking Doll Falls
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING Volume: 56 Issue: 12 Pages:
2858-2867 Published: DEC 2009
Hu QH, Pedrycz W, Yu DR, et al.
Selecting Discrete and Continuous Features Based on Neighborhood Decision Error Minimization
IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART BCYBERNETICS Volume: 40 Issue: 1 Pages: 137-150 Published: FEB 2010
Picon A, Ghita O, Whelan PF, et al.
Fuzzy Spectral and Spatial Feature Integration for Classification of Nonferrous Materials in
Hyperspectral Data
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS Volume: 5 Issue: 4 Pages: 483494 Published: NOV 2009
Marinakis Y, Marinaki M, Dounias G, et al.
Intelligent and nature inspired optimization methods in medicine: the Pap smear cell classification
problem
EXPERT SYSTEMS Volume: 26 Issue: 5 Pages: 433-457 Published: NOV 2009
Gutlein M, Frank E, Hall M, et al.
Large-scale attribute selection using wrappers
Conference Information: IEEE Symposium on Computational Intelligence and Data Mining, MAR
30-APR 02, 2009 Nashville, TN
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2009 IEEE SYMPOSIUM ON COMPUTATIONAL INTELLIGENCE AND DATA
MINING Pages: 332-339 Published: 2009
Lin SW, Chen SC, Wu WJ, et al
Parameter determination and feature selection for back-propagation network by particle swarm
optimization
KNOWLEDGE AND INFORMATION SYSTEMS Volume: 21 Issue: 2 Pages: 249266 Published: NOV 2009
Ververidis D, Kotropoulos C
Information Loss of the Mahalanobis Distance in High Dimensions: Application to Feature Selection
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE
INTELLIGENCE Volume: 31 Issue: 12 Pages: 2275-2281 Published: DEC 2009
Dalponte M, Bruzzone L, Vescovo L, et al.
The role of spectral resolution and classifier complexity in the analysis of hyperspectral images of
forest areas
REMOTE SENSING OF ENVIRONMENT Volume: 113 Issue: 11 Pages: 23452355 Published: NOV 16 2009
Nanni L, Lumini A
Descriptors for image-based fingerprint matchers
Source: EXPERT SYSTEMS WITH APPLICATIONS Volume: 36 Issue: 10 Pages: 1241412422 Published: DEC 2009
Gheyas, I.A., Smith, L.S.
Feature subset selection in large dimensionality domains
PATTERN RECOGNITION 43 (1), pp.5-13, 2010
Loo LH, Lin HJ, Steininger RJ, et al.
An approach for extensibly profiling the molecular states of cellular subpopulations
NATURE METHODS Volume: 6 Issue: 10 Pages: 759-U18 Published: OCT 2009
Murphy K, van Ginneken B, Schilham AMR, et al.
A large-scale evaluation of automatic pulmonary nodule detection in chest CT using local image
features and k-nearest-neighbour classification
Source: MEDICAL IMAGE ANALYSIS Volume: 13 Issue: 5 Pages: 757-770 Published:
OCT 2009
Salmeri A, Licciardi CA, Lamorte L, et al.
An Architecture to Combine Context Awareness and Body Sensor Networks for Health Care
Applications
Conference Information: 7th International Conference on Smart Homes and Health Telematics, JUL
01-03, 2009 Tour, FRANCE
Source: AMBIENT ASSISTIVE HEALTH AND WELLNESS MANAGEMENT IN THE
HEART OF THE CITY, PROCEEDING Book Series: Lecture Notes in Computer
Science Volume: 5597 Pages: 90-97 Published: 2009
Hu H, Xu MX, Wu W
Fusion of Global Statistical and Segmental Spectral Features for Speech Emotion Recognition
Conference Information: Interspeech Conference 2007, AUG 27-31, 2007 Antwerp, BELGIUM
Source: INTERSPEECH 2007: 8TH ANNUAL CONFERENCE OF THE INTERNATIONAL
SPEECH COMMUNICATION ASSOCIATION, VOLS 1-4 Pages: 1013-1016 Published: 2007
Schuller B, Kohler N, Muller R, et al.
Recognition of Interest in Human Conversational Speech
Conference Information: 9th International Conference on Spoken Language
Processing/INTERSPEECH 2006, 2006 Pittsburgh, PA
20. Mishra A, Matous K, Mishra KB, et al.
Towards Discrimination of Plant Species by Machine Vision: Advanced Statistical Analysis of
Chlorophyll Fluorescence Transients
Source: JOURNAL OF FLUORESCENCE Volume: 19 Issue: 5 Pages: 905-913 Published:
SEP 2009
21. Csefalvay L, Di Gaspero G, Matous K, et al.
Pre-symptomatic detection of Plasmopara viticola infection in grapevine leaves using chlorophyll
fluorescence imaging
Source: EUROPEAN JOURNAL OF PLANT PATHOLOGY Volume: 125 Issue: 2 Pages:
291-302 Published: OCT 2009
22. Duangsoithong R, Windeatt T
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Relevance and Redundancy Analysis for Ensemble Classifiers
Conference Information: 6th International Conference on Machine Learning and Data Mining in
Pattern Recognition, JUL 23-25, 2009 Leipzig, GERMANY
Source: MACHINE LEARNING AND DATA MINING IN PATTERN RECOGNITION Book
Series: Lecture Notes in Artificial Intelligence Volume: 5632 Pages: 206-220 Published: 2009
Olvera-Lopez JA, Martinez-Trinidad JF, Carrasco-Ochoa JA, et al.
Prototype selection based on sequential search
Source: INTELLIGENT DATA ANALYSIS Volume: 13 Issue: 4 Pages: 599-631 Published:
2009
Bruzzone L, Persello C
A Novel Approach to the Selection of Spatially Invariant Features for the Classification of
Hyperspectral Images With Improved Generalization Capability
Source: IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING Volume:
47 Issue: 9 Special Issue: Sp. Iss. SI Pages: 3180-3191 Published: SEP 2009
Delibasis KK, Asvestas PA, Matsopoulos GK, et al.
Computer-Aided Diagnosis of Thyroid Malignancy Using an Artificial Immune System
Classification Algorithm
Source: IEEE TRANSACTIONS ON INFORMATION TECHNOLOGY IN
BIOMEDICINE Volume: 13 Issue: 5 Pages: 680-686 Published: SEP 2009
Dalponte, M., Bruzzone, L., Vescovo, L., Gianelle, D.
The role of spectral resolution and classifier complexity in the analysis of hyperspectral images
of forest areas
REMOTE SENSING OF ENVIRONMENT 113 (11), pp. 2345-2355, 2009
Hong TP, Lion YL, Lee CH
Attribute Clustering with Unknown Cluster Numbers
Conference Information: IEEE International Conference on System, Man, and Cybernetic, OCT 1215, 2008 Singapore, SINGAPORE
Source: 2008 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN AND
CYBERNETICS (SMC), VOLS 1-6 Book Series: IEEE INTERNATIONAL CONFERENCE
ON SYSTEMS, MAN, AND CYBERNETICS, CONFERENCE PROCEEDINGS Pages: 27712775 Published: 2008
Gravina R, Guerrieri A, Fortino G, et al.
Development of Body Sensor Network Applications using SPINE
Conference Information: IEEE International Conference on System, Man, and Cybernetic, OCT 1215, 2008 Singapore, SINGAPORE
Source: 2008 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN AND
CYBERNETICS (SMC), VOLS 1-6 Book Series: IEEE INTERNATIONAL CONFERENCE
ON SYSTEMS, MAN, AND CYBERNETICS, CONFERENCE PROCEEDINGS Pages: 28092814 Published: 2008
Liwicki M, Bunke H
FEATURE SELECTION FOR HMM AND BLSTM BASED HANDWRITING RECOGNITION OF
WHITEBOARD NOTES
Conference Information: 13th Conference of the International-Graphonomics-Society, NOV 11-14,
2007 Melbourne, AUSTRALIA
Source: INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL
INTELLIGENCE Volume: 23 Issue: 5 Pages: 907-923 Published: AUG 2009
Dougherty ER, Hua JP, Sima C
Performance of Feature Selection Methods
Source: CURRENT GENOMICS Volume: 10 Issue: 6 Pages: 365-374 Published: SEP 2009
Nakariyakul S
A Review of Suboptimal Branch and Bound Algorithms
Conference Information: International Conference on Computer Engineering and Applications, JUN
06-08, 2009 Manila, PHILIPPINES
Source: PROCEEDINGS OF 2009 INTERNATIONAL CONFERENCE ON COMPUTER
ENGINEERING AND APPLICATIONS Pages: 566-570 Published: 2009
Barrio I, Romero E, Belanche L
An experimental study on methods for the selection of basis functions in regression
Source: NEUROCOMPUTING Volume: 72 Issue: 13-15 Special Issue: Sp. Iss. SI Pages:
2952-2963 Published: AUG 2009
Kumar D, Kumar S, Rai CS
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Feature selection for face recognition: a memetic algorithmic approach
Source: JOURNAL OF ZHEJIANG UNIVERSITY-SCIENCE A Volume: 10 Issue: 8 Pages:
1140-1152 Published: AUG 2009
Mahmood, Z., Khan, S.
On the use of K-fold cross-validation to choose cutoff values and assess the performance of
predictive models in stepwise regression
International Journal of Biostatistics 5 (1), art. no. 25, 2009
Van Dijck G, Van Vaerenbergh J, Van Hulle MM
Posterior probability profiles for the automated assessment of the recovery of patients with stroke
from activity of daily living tasks
ARTIFICIAL INTELLIGENCE IN MEDICINE Volume: 46 Issue: 3 Pages: 233249 Published: JUL 2009
Gütlein, M., Frank, E., Hall, M., Karwath, A.
Large-scale attribute selection using wrappers
2009 IEEE Symposium on Computational Intelligence and Data Mining, CIDM 2009 - Proceedings,
art. no. 4938668, pp. 332-339, 2009
Sinha R, Nikolajewa S, Szafranski K, et al.
Accurate prediction of NAGNAG alternative splicing
Source: NUCLEIC ACIDS RESEARCH Volume: 37 Issue: 11 Pages: 3569-3579 Published:
JUN 2009
Nakariyakul, S., Casasent, D.P.
Fast feature selection algorithm for poultry skin tumor detection in hyperspectral data
JOURNAL OF FOOD ENGINEERING 94 (3-4), pp. 358-365, 2009
Liao WH, Ji Q, Wallace WA
Approximate Nonmyopic Sensor Selection via Submodularity and Partitioning
Source: IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART ASYSTEMS AND HUMANS Volume: 39 Issue: 4 Pages: 782-794 Published: JUL 2009
Cheng DF, Liu GY, Qiu YH
Applications of Particle Swarm Optimization and K-Nearest Neighbors to Emotion Recognition from
Physiological Signals
Conference Information: International Conference on Computational-Intelligence and Security, DEC
13-17, 2008 Suzhou, PEOPLES R CHINA
Source: 2008 INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE
AND SECURITY, VOLS 1 AND 2, PROCEEDINGS Pages: 615-619, 2008
Wan J, Lin J, Zack DJ, et al.
Relating periodicity of nucleosome organization and gene regulation
Source: BIOINFORMATICS Volume: 25 Issue: 14 Pages: 1782-1788 Published: JUL 15 2009
Qian M, Aguilar M, Zachery KN, et al.
Decision-Level Fusion of EEG and Pupil Features for Single-Trial Visual Detection Analysis
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING Volume: 56 Issue: 7 Pages:
1929-1937 Published: JUL 2009
Nanni L, Lumini A
Fusion of color spaces for ear authentication
Source: PATTERN RECOGNITION Volume: 42 Issue: 9 Pages: 1906-1913 Published: SEP
2009
Nakariyakul S, Casasent DP
An improvement on floating search algorithms for feature subset selection
Source: PATTERN RECOGNITION Volume: 42 Issue: 9 Pages: 1932-1940 Published: SEP
2009
Park JI, Baek SH, Jeong MK, et al.
Dual Features Functional Support Vector Machines for Fault Detection of Rechargeable Batteries
Source: IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART CAPPLICATIONS AND REVIEWS Volume: 39 Issue: 4 Special Issue: Sp. Iss. SI Pages: 480485 Published: JUL 2009
Gunal S, Gerek ON, Ece DG, et al.
The search for optimal feature set in power quality event classification
EXPERT SYSTEMS WITH APPLICATIONS Volume: 36 Issue: 7 Pages: 1026610273 Published: SEP 2009
Serag, A., Wenzel, F., Thiele, F., Buchert, R., Young, S.
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Optimal feature selection for automated classification of FDG-PET in patients with suspected
dementi
Progress in Biomedical Optics and Imaging - Proceedings of SPIE 7260, art. no. 726012, 2009
Lee, Y., Kim, N., Seo, J.B., Park, S.O., Lee, Y.K., Kan, S.H.
Improvement of computational efficiency using a cascade classification scheme for the
classification of diffuse infiltrative lung disease on HRCT
Progress in Biomedical Optics and Imaging - Proceedings of SPIE 7260, art. no. 72603A, 2009
Niemeijer, M., Ginneken, B.V., Abràmoff, M.D.
Automatic classification of retinal vessels into arteries and veins
Progress in Biomedical Optics and Imaging - Proceedings of SPIE 7260, art. no. 72601F, 2009
Zhu YT, Chan TH, Hoffman EP, et al.
Gene Expression Dissection by Non-negative Well-Grounded Source Separation
Conference Information: IEEE Workshop on Machine Learning for Signal Processing, OCT 16-19,
2008 Cancun, MEXICO
Source: 2008 IEEE WORKSHOP ON MACHINE LEARNING FOR SIGNAL
PROCESSING Book Series: IEEE Workshop on Machine Learning for Signal
Processing Pages: 255-260 Published: 2008
Rabbani N, Alamdari M, Yazdani MR, et al.
A NOVEL FEATURE EXTRACTION AND SELECTION METHOD FOR STEEL SHEET
DEFECTS CLASSIFICATION
Conference Information: 4th International Conference on Computer Vision Theory and Applications,
FEB 05-08, 2009 Lisbon, PORTUGAL
Source: VISAPP 2009: PROCEEDINGS OF THE FOURTH INTERNATIONAL
CONFERENCE ON COMPUTER VISION THEORY AND APPLICATIONS, VOL 1 Pages:
250-253 Published: 2009
Cervino LI, Chao AKY, Sandhu A, et al.
The diaphragm as an anatomic surrogate for lung tumor motion
PHYSICS IN MEDICINE AND BIOLOGY Volume: 54 Issue: 11 Pages: 35293541 Published: JUN 7 2009
Pudimat R, Backofen R, Schukat-Talamazzini EG
FAST FEATURE SUBSET SELECTION IN BIOLOGICAL SEQUENCE ANALYSIS
INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL
INTELLIGENCE Volume: 23 Issue: 2 Pages: 191-207 Published: MAR 2009
Niemeijer M, Abramoff MD, van Ginneken B
Information Fusion for Diabetic Retinopathy CAD in Digital Color Fundus Photographs
IEEE TRANSACTIONS ON MEDICAL IMAGING Volume: 28 Issue: 5 Pages: 775785 Published: MAY 2009
Litvak D, Gannot I, Zigel Y
DETECTION OF FALLS AT HOME USING FLOOR VIBRATIONS AND SOUND
Conference Information: AIAA 47th Aerospace Sciences Meeting and Exhibit, JAN 05-08, 2009
Orlando, FL
Source: 2008 IEEE 25TH CONVENTION OF ELECTRICAL AND ELECTRONICS
ENGINEERS IN ISRAEL, VOLS 1 AND 2 Book Series: IEEE Convention of Electrical and
Electronics Engineers in Israel Pages: 504-508 Published: 2008
Liao, T.W.
Improving the accuracy of computer-aided radiographic weld inspection by feature selection
NDT & E INTERNATIONAL Volume: 42 Issue: 4 Pages: 229-239 Published: JUN 2009
Wang, Y., Li, L., Ni, J., Huang, S.
Feature selection using tabu search with long-term memories and probabilistic neural network
PATTERN RECOGNITION LETTERS Volume: 30 Issue: 7 Pages: 661-670 Published:
MAY 1 2009
Annest A, Bumgarner RE, Raftery AE, et al.
Iterative Bayesian Model Averaging: a method for the application of survival analysis to highdimensional microarray data
BMC BIOINFORMATICS Volume: 10 Article Number: 72 Published: FEB 26 2009
Cernazanu C
Training Neural Networks Using Input Data Characteristics
ADVANCES IN ELECTRICAL AND COMPUTER ENGINEERING Volume: 8 Issue:
2 Pages: 65-70 Published: 2008
Springer C, Kegelmeyer WP
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Feature Selection via Decision Tree Surrogate Splits
Conference Information: 19th International Conference on Pattern Recognition (ICPR 2008), DEC
08-11, 2008 Tampa, FL
Source: 19TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION, VOLS 16 Book Series: INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION Pages:
3682-3686 Published: 2008
Krizek P, Kittler J, Hlavac V
Feature Condensing Algorithm for Feature Selection
Conference Information: 19th International Conference on Pattern Recognition (ICPR 2008), DEC
08-11, 2008 Tampa, FL
Source: 19TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION, VOLS 16 Book Series: INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION Pages:
3787-3790 Published: 2008
Yu P, Clausi DA, De Abreu R, et al.
Combining AMSR-E and QuikSCAT image data to improve sea ice classification
Conference Information: 5th IAPR Workshop on Pattern Recognition in Remote Sensing, DEC 07,
2008 Tampa, FL
Source: 2008 IAPR WORKSHOP ON PATTERN RECOGNITION IN REMOTE
SENSING Pages: 25-28 Published: 2008
Yusta, S.C.
Different metaheuristic strategies to solve the feature selection problem
PATTERN RECOGNITION LETTERS 30 (5), pp. 525-534, 2009
Sertel, O., Kong, J., Shimada, H., Catalyurek, U.V., Saltz, J.H., Gurcan, M.N.
Computer-aided prognosis of neuroblastoma on whole-slide images: Classification of stromal
development
PATTERN RECOGNITION Volume: 42 Issue: 6 Pages: 1093-1103 Published: JUN 2009
Lizier, M.A.S., Martins Jr., D.C., Cuadros-Vargas, A.J., Cesar Jr., R.M., Nonato, L.G.
Generating segmented meshes from textured color images
JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION 20 (3), pp.
190-203, APR 2009
Plasberg JH, Kleijn WB
Feature Selection Under a Complexity Constraint
IEEE TRANSACTIONS ON MULTIMEDIA Volume: 11 Issue: 3 Pages: 565-571 Published:
APR 2009
Chang F, Chou CH
A Bi-Prototype Theory of Facial Attractiveness
NEURAL COMPUTATION Volume: 21 Issue: 3 Pages: 890-910 Published: MAR 2009
Tsai CC, Taur JS, Tao CW
Iris Recognition Using Gabor Filters and the Fractal Dimension
JOURNAL OF INFORMATION SCIENCE AND ENGINEERING Volume: 25 Issue:
2 Special Issue: Sp. Iss. SI Pages: 633-647 Published: MAR 2009
Topouzelis K, Stathakis D, Karathanassi V
Investigation of genetic algorithms contribution to feature selection for oil spill detection
INTERNATIONAL JOURNAL OF REMOTE SENSING Volume: 30 Issue: 3 Pages: 611625 Published: 2009
J Kong, O Sertel, H Shimada, KL Boyer, JH Saltz
Computer-aided evaluation of neuroblastoma on whole-slide histology images: Classifying grade of
neuroblastic differentiation
PATTERN RECOGNITION 42 (6), pp. 1080-1092, June 2009
Zhong EH, Xie SH, Fan W, et al.
Graph-based Iterative Hybrid Feature Selection
Conference Information: 8th IEEE International Conference on Data Mining, DEC 15-19, 2008 Pisa,
ITALY
Source: ICDM 2008: EIGHTH IEEE INTERNATIONAL CONFERENCE ON DATA
MINING, PROCEEDINGS Book Series: IEEE International Conference on Data
Mining Pages: 1133-1138 Published: 2008
Nanni L, Lumini A
A Further Step Toward an Optimal Ensemble of Classifiers for Peptide Classification, a Case Study:
HIV Protease
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PROTEIN AND PEPTIDE LETTERS Volume: 16 Issue: 2 Pages: 163-167 Published: FEB
2009
Neuper C, Scherer R, Wriessnegger S, et al.
Motor imagery and action observation: Modulation of sensorimotor brain rhythms during mental
control of a brain-computer interface
CLINICAL NEUROPHYSIOLOGY Volume: 120 Issue: 2 Pages: 239-247 Published: FEB
2009
Nanni L, Lumini A
Using ensemble of classifiers for predicting HIV protease cleavage sites in proteins
Source: AMINO ACIDS Volume: 36 Issue: 3 Pages: 409-416 Published: MAR 2009
Ahonen, T., Pietikainen, M.
Image description using joint distribution of filter bank responses
PATTERN RECOGNITION LETTERS Volume: 30 Issue: 4 Pages: 368-376 Published:
MAR 1 2009
Nanni, L., Lumini, A.
An ensemble of support vector machines for predicting virulent proteins
EXPERT SYSTEMS WITH APPLICATIONS 36 (4), pp. 7458-7462, 2009-03-09
Lumini, A., Nanni, L.
Ensemble of on-line signature matchers based on OverComplete feature generation
EXPERT SYSTEMS WITH APPLICATIONS 36 (3 PART 1), pp. 5291-5296, 2009
D Gonzalez-Jimenez, JL Alba-Castro
Modeling Marginal Distributions of Gabor Coefficients: Application to Biometric Template
Reduction
LECTURE NOTES IN COMPUTER SCIENCE Volume: 5372 Pages: 37-46 Published: 2008
Book: Biometrics and Identity Management: First European Workshop, …, 2009
Hsu HH, Hsieh CW, Lu MD
A Hybrid Feature Selection Mechanism
Conference Information: 8th International Conference on Intelligent Systems Design and
Applications (ISDA 2008), NOV 26-28, 2008 Kaohsiung, TAIWAN
Source: ISDA 2008: EIGHTH INTERNATIONAL CONFERENCE ON INTELLIGENT
SYSTEMS DESIGN AND APPLICATIONS, VOL 2, PROCEEDINGS Pages: 271276 Published: 2008
Xue-wen Chen, Michael Wasikowski
FAST: a roc-based feature selection metric for small samples and imbalanced data classification
problems
Proceeding of the 14th ACM SIGKDD international conference on Knowledge discovery and
data mining, pages: 124-132 2008
Cohen, A.R. Bjornsson, C. Ying Chen Banker, G. Ladi, E. Robey, E. Temple, S. Roysam, B.
Automatic summarization of changes in image sequences using algorithmic information Tudory
5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2008. ISBI 2008
page(s): 859-862, 2008
Lopes FM, Martins DC, Cesar RM
Feature selection environment for genomic applications
BMC BIOINFORMATICS Volume: 9 Article Number: 451 Published: OCT 22 2008
Asvestas PA, Ventouras E, Karanasiou I, et al.
Classification of Event-Related Potentials Associated with Response Errors in Actors
Conference Information: 8th IEEE International Conference on Bioinformatics and Bioengineering,
OCT 08-10, 2008 Athens, GREECE
8TH IEEE INTERNATIONAL CONFERENCE ON BIOINFORMATICS AND
BIOENGINEERING, VOLS 1 AND 2 Pages: 804-809 Published: 2008
Senoussi H, Chebel-Morello B
A New Contextual Based Feature Selection
Conference Information: International Joint Conference on Neural Networks, JUN 01-08, 2008 Hong
Kong, PEOPLES R CHINA
2008 IEEE INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS, VOLS 18 Book Series: IEEE International Joint Conference on Neural Networks (IJCNN) Pages:
1265-1272 Published: 2008
Aoki K, Kudo M
Feature and Classifier Selection in Class Decision Trees
Conference Information: Joint International Workshop on Structural, Syntactic, and Statistical Pattern
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Recognition, DEC 04-16, 2008 Univ Central Florida, Orlando, FL
STRUCTURAL, SYNTACTIC, AND STATISTICAL PATTERN RECOGNITION Book
Series: LECTURE NOTES IN COMPUTER SCIENCE Volume: 5342 Pages: 562571 Published: 2008
Fornes A, Llados J, Sanchez G, et al.
Writer Identification in Old Handwritten Music Scores
Conference Information: 8th International Workshop on Document Analysis Systems, SEP 16-19,
2008 Nara, JAPAN
Source: PROCEEDINGS OF THE 8TH IAPR INTERNATIONAL WORKSHOP ON
DOCUMENT ANALYSIS SYSTEMS Pages: 347-353 Published: 2008
Chen L, Xuan JH, Wang Y, et al.
Network-constrained Support Vector Machine for Classification
Conference Information: 7th International Conference on Machine Learning and Applications, DEC
11-13, 2008 San Diego, CA
SEVENTH INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND
APPLICATIONS, PROCEEDINGS Pages: 60-65 Published: 2008
Ruta A, Li YM, Liu XH
Detection, Tracking and Recognition of Traffic Signs from Video Input
Conference Information: 11th IEEE International Conference on Intelligent Transportation Systems
(ITSC 2008), OCT 12-15, 2008 Beijing, PEOPLES R CHINA
PROCEEDINGS OF THE 11TH INTERNATIONAL IEEE CONFERENCE ON
INTELLIGENT TRANSPORTATION SYSTEMS Pages: 55-60 Published: 2008
Nanni L, Lumini A
Machine learning multi-classifiers for peptide classification
NEURAL COMPUTING & APPLICATIONS Volume: 18 Issue: 2 Pages: 185192 Published: FEB 2009
Wang JW, Chen WY
Genetic Optimization of Fingerprint Recognition Based on Core Sub-Region
JOURNAL OF INFORMATION SCIENCE AND ENGINEERING Volume: 25 Issue: 1 Pages: 303317 Published: JAN 2009
Nanni L, Lumini A
Ensemble generation and feature selection for the identification of students with learning disabilities
EXPERT SYSTEMS WITH APPLICATIONS Volume: 36 Issue: 2 Pages: 3896-3900 Part:
Part 2 Published: MAR 2009
Bacauskiene, M., Verikas, A., Gelzinis, A., Valincius, D.
A feature selection technique for generation of classification committees and its application to
categorization of laryngeal images
PATTERN RECOGNITION 42 (5), pp. 645-654, 2009
Vasconcelos M, Vasconcelos N
Natural Image Statistics and Low-Complexity Feature Selection
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE
INTELLIGENCE Volume: 31 Issue: 2 Pages: 228-244 Published: FEB 2009
Balamurugan, S.A.A., Rajaram, R.
Effective and efficient feature selection for large-scale data using Bayes' theorem
INTERNATIONAL JOURNAL OF AUTOMATION AND COMPUTING 6 (1), pp. 62-71, 2009
Chang, W.S., Lee, J.S.
Segment-Boost Learning for Facial Feature Selection
Conference Information: 3rd International Conference on Convergence and Hybrid Information
Technology, NOV 11-13, 2008 Busan, SOUTH KOREA
THIRD 2008 INTERNATIONAL CONFERENCE ON CONVERGENCE AND HYBRID
INFORMATION TECHNOLOGY, VOL 1, PROCEEDINGS Pages: 358-363 Published: 2008
O'Boyle NM, Palmer DS, Nigsch F, et al.
Simultaneous feature selection and parameter optimisation using an artificial ant colony: case study
of melting point prediction
CHEMISTRY CENTRAL JOURNAL Volume: 2 Article Number: 21 Published: OCT 29 2008
Sun LX, Zhang Y, Guindon B
Improved Iterative Error Analysis for Endmember Extraction from Hyperspectral Imagery
IMAGING SPECTROMETRY XIII Book Series: PROCEEDINGS OF THE SOCIETY OF
PHOTO-OPTICAL INSTRUMENTATION ENGINEERS (SPIE) Volume: 7086 Pages: S860S860 Published: 2008
8
98. Schuller B, Rigoll G, Can S, et al.
Emotion Sensitive Speech Control for Human-Robot Interaction in Minimal Invasive Surgery
17TH IEEE INTERNATIONAL SYMPOSIUM ON ROBOT AND HUMAN INTERACTIVE
COMMUNICATION, VOLS 1 AND 2 Pages: 453-458 Published: 2008
99. Hua, J., Tembe, W.D., Dougherty, E.R.
Performance of feature-selection methods in the classification of high-dimension data
PATTERN RECOGNITION 42 (3), pp. 409-424, 2009
100. Kocal OH, Yuruklu E, Avcibas I
Chaotic-Type Features for Speech Steganalysis
IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY Volume:
3 Issue: 4 Pages: 651-661 Published: DEC 2008
101. Marinaki M, Marinakis Y, Doumpos M, et al.
A comparison of several nearest neighbor classifier metrics using Tabu Search algorithm for the
feature selection problem
OPTIMIZATION LETTERS Volume: 2 Issue: 3 Pages: 299-308 Published: JUN 2008
102. B Deronde, R Houthuys, JP Henriet, VV Lancker
Monitoring of the sediment dynamics along a sandy shoreline by means of airborne hyperspectral …
Earth Surface Processes and Landforms 33(2). Pages: 280-294 2008
103. Huilin, Z., Yuhao, W.
Time frequency representations for classification of landmine using UWB impulse GPR
PROCEEDINGS OF INTERNATIONAL CONFERENCE ON Wireless Communications,
Networking and Mobile Computing, WiCOM 2008, art. no. 4678158, 2008
104. Koskinen M, Vartiainen N
Removal of ballistocardiogram artifact from EEG data acquired in the MRI scanner: selection of ICA
components
Conference Information: 30th Annual International Conference of the IEEE-Engineering-inMedicine-and-Biology-Society, AUG 20-24, 2008 Vancouver, CANADA
2008 30TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN
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105. Yang, C.-S., Chuang, L.-Y., Chen, Y.-J., Yang, C.-H.
Feature Selection using Memetic Algorithms
Conference Information: 3rd International Conference on Convergence and Hybrid Information
Technology, NOV 11-13, 2008 Busan, SOUTH KOREA
THIRD 2008 INTERNATIONAL CONFERENCE ON CONVERGENCE AND HYBRID
INFORMATION TECHNOLOGY, VOL 1, PROCEEDINGS Pages: 416-423 Published: 2008
106. Hong TP, Liou YL
Case-Based Reasoning with Feature Clustering
PROCEEDINGS OF THE SEVENTH IEEE INTERNATIONAL CONFERENCE ON
COGNITIVE INFORMATICS Pages: 449-454 Published: 2008
107. Khattab, K., Dubois, J., Miteran, J.
Hardware implementation of boosting based object detection using a high level description
IEEE International Symposium on Industrial Electronics, art. no. 4677098, pp. 1692-1697, 2008
108. Aoki, K., Kudo, M.
Feature and classifier selection in class decision trees
LECTURE NOTES IN COMPUTER SCIENCE 5342 LNCS, pp. 562-571, 2008
109. Defu, C., Guangyuan, L., Qiu Yuhui
Applications of Particle Swarm Optimization and K-Nearest Neighbors to Emotion recognition
from physiological signals
Proceedings - 2008 International Conference on Computational Intelligence and Security, CIS 2008
2, art. no. 4724735, pp. 52-56, 2008
110. Nakariyakul, S.
On the suboptimal solutions using the adaptive Branch and Bound algorithm for feature selection
PROCEEDINGS OF 2008 INTERNATIONAL CONFERENCE ON WAVELET ANALYSIS
AND PATTERN RECOGNITION, VOLS 1 AND 2 Pages: 384-389 Published: 2008
111. Nikam SB, Agarwal S
Wavelet energy signature and GLCM features-based fingerprint anti-spoofing
PROCEEDINGS OF 2008 INTERNATIONAL CONFERENCE ON WAVELET ANALYSIS
AND PATTERN RECOGNITION, VOLS 1 AND 2 Pages: 717-723 Published: 2008
112. Kononen V, Mantyjarvi J, Simila H, et al.
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A Computationally Light Classification Method for Mobile Wellness Platforms
Conference Information: 30th Annual International Conference of the IEEE-Engineering-inMedicine-and-Biology-Society, AUG 20-24, 2008 Vancouver, CANADA
2008 30TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN
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Medicine and Biology Society Conference Proceedings Pages: 1167-1170 Published: 2008
113. Narayanan MR, Scalzi ME, Redmond SJ, et al.
A Wearable Triaxial Accelerometry System for Longitudinal Assessment of Falls Risk
Conference Information: 30th Annual International Conference of the IEEE-Engineering-inMedicine-and-Biology-Society, AUG 20-24, 2008 Vancouver, CANADA
2008 30TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN
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Medicine and Biology Society Conference Proceedings Pages: 2840-2843 Published: 2008
114. Dyson M, Sepulveda F, Gan JQ
Mental Task Classification against the Idle State: A Preliminary Investigation
Conference Information: 30th Annual International Conference of the IEEE-Engineering-inMedicine-and-Biology-Society, AUG 20-24, 2008 Vancouver, CANADA
2008 30TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN
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Medicine and Biology Society Conference Proceedings Pages: 4473-4477 Published: 2008
115. Litvak D, Zigel Y, Gannot I
Fall Detection of Elderly through Floor Vibrations and Sound
Conference Information: 30th Annual International Conference of the IEEE-Engineering-inMedicine-and-Biology-Society, AUG 20-24, 2008 Vancouver, CANADA
Source: 2008 30TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE
ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, VOLS 1-8 Book Series: IEEE
Engineering in Medicine and Biology Society Conference Proceedings Pages: 46324635 Published: 2008
116. Wei N, Flaschel E, Friehs K, et al.
A machine vision system for automated non-invasive assessment of cell viability via dark field
microscopy, wavelet feature selection and classification
BMC BIOINFORMATICS Volume: 9 Article Number: 449 Published: OCT 21 2008
117. Ahonen, T., Pietikainen, M.
A framework for analyzing texture descriptors
VISAPP 2008 - 3rd International Conference on Computer Vision Theory and Applications,
Proceedings 1, pp. 507-512, 2008
118. Zhang, X., Wang, X., Guo, H., Guo, Z., Wu, X., Su, Z.
FloatCascade Learning for Fast Imbalanced Web Mining
Proceeding of the 17th International Conference on World Wide Web 2008, WWW'08, pp. 71-80,
2008
119. Nikam, S.B., Agarwal, S.
Wavelet energy signature and GLCM features-based fingerprint anti-spoofing
Proceedings of the 2008 International Conference on Wavelet Analysis and Pattern Recognition,
ICWAPR 2, art. no. 4635872, pp. 717-723, 2008
120. Zhu, Y., Chan, T.-H., Hoffman, E.P., Wang, Y.
Gene expression dissection by non-negative well-grounded source separation
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121. Filipenkov, N.V.
DATA mining in non-stationary multidimensional time series using a rule similarity measure
MCCSIS'08 - IADIS Multi Conference on Computer Science and Information Systems; Proceedings
of Informatics 2008 and Data Mining 2008, pp. 92-96, 2008
122. Wei JM, Yang XB, Wang SQ, et al.
A Novel Rough Hypercuboid Method for Classifying Cancers Based on Gene Expression Profiles
Conference Information: 5th International Conference on Fuzzy Systems and Knowledge Discovery,
OCT 18-20, 2008 Jinan, PEOPLES R CHINA
Source: FIFTH INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS AND
KNOWLEDGE DISCOVERY, VOL 2, PROCEEDINGS Pages: 262-266 Published: 2008
123. Wang, J., Li, J., Hong, W.
Feature extraction and classification for graphical representations of data
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LECTURE NOTES IN COMPUTER SCIENCE 5226 LNCS, pp. 506-513, 2008
124. Tsai CC, Taur J, Tao CW
Iris recognition based on relative variation analysis with feature selection
OPTICAL ENGINEERING Volume: 47 Issue: 9 Article Number: 097202 Published: SEP 2008
125. Schleif, F.-M., Villmann, T., Hammer, B., van der Werff, M., Deelder, A., Tollenaar, R.
Analysis of spectral data in clinical proteomics by use of learning vector quantizers
STUDIES IN COMPUTATIONAL INTELLIGENCE 151, pp. 141-167, 2008
126. Choudhary A, Hua JP, Bittner ML, et al
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JOURNAL OF BIOLOGICAL SYSTEMS Volume: 16 Issue: 4 Pages: 495-517 Published:
DEC 2008
127. Huang D, Gan ZH, Chow TWS
Enhanced feature selection models using gradient-based and point injection techniques
NEUROCOMPUTING Volume: 71 Issue: 16-18 Special Issue: Sp. Iss. SI Pages: 31143123 Published: OCT 2008
128. Nakariyakul S, Casasent DP
Hyperspectral waveband selection for contaminant detection on poultry carcasses
OPTICAL ENGINEERING Volume: 47 Issue: 8 Article Number: 087202 Published: AUG
2008
129. Schmitt E, Bombardier V, Wendling L
Improving fuzzy rule classifier by extracting suitable features from capacities with respect to the
Choquet integral
IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART BCYBERNETICS Volume: 38 Issue: 5 Pages: 1195-1206 Published: OCT 2008
130. Kanan, H.R., Faez, K.
An improved feature selection method based on ant colony optimization (ACO) evaluated on face
recognition system
APPLIED MATHEMATICS AND COMPUTATION Volume: 205 Issue: 2 Special Issue: Sp.
Iss. SI Pages: 716-725 Published: NOV 15 2008
131. Gunal S, Edizkan R
Subspace based feature selection for pattern recognition
INFORMATION SCIENCES Volume: 178 Issue: 19 Pages: 3716-3726 Published: OCT 1
2008
132. Marinakis, Y., Marinaki, M., Doumpos, M., Matsatsinis, N., Zopounidis, C.
Optimization of nearest neighbor classifiers via metaheuristic algorithms for credit risk assessment
JOURNAL OF GLOBAL OPTIMIZATION Volume: 42 Issue: 2 Pages: 279-293 Published:
OCT 2008
133. Zhong P, Zhang P, Wang RS
Dynamic learning of SMLR for feature selection and classification of hyperspectral data
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS Volume: 5 Issue: 2 Pages: 280284 Published: APR 2008
134. Lapedriza A, Segui S, Masip D, et al.
A sparse Bayesian approach for joint feature selection and classifier learning
PATTERN ANALYSIS AND APPLICATIONS Volume: 11 Issue: 3-4 Pages: 299308 Published: SEP 2008
135. Deronde B, Kempeneers P, Houhuys R, et al.
Sediment facies classification of a sandy shoreline by means of airborne imaging spectroscopy
INTERNATIONAL JOURNAL OF REMOTE SENSING Volume: 29 Issue: 15 Pages: 44634477 Published: 2008
136. Nanni, L., Lumini, A.
Generalized Needleman-Wunsch algorithm for the recognition of T-cell epitopes
EXPERT SYSTEMS WITH APPLICATIONS Volume: 35 Issue: 3 Pages: 14631467 Published: MARCH 2008
137. Nanni L, Lumini A
A multi-modal method based on the competitors of FVC2004 and on palm data combined with
tokenised random numbers
PATTERN RECOGNITION LETTERS Volume: 29 Issue: 9 Pages: 1344-1350 Published:
JUL 1 2008
138. Huang, C.-R., Chung, P.-C., Sheu, B.-S., Kuo, H.-J., Popper, M.
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Helicobacter Pylori-related gastric histology classification using support-vector-machine-based
feature selection
IEEE TRANSACTIONS ON INFORMATION TECHNOLOGY IN BIOMEDICINE 12 (4):
523-531, JUL 2008
139. Lumini, A., Nanni, L.
Over-complete feature generation and feature selection for biometry
EXPERT SYSTEMS WITH APPLICATIONS Volume: 35 Issue: 4 Pages: 20492059 Published: APRIL 2008
140. Ververidis, D., Kotropoulos, C.
Fast and accurate sequential floating forward feature selection with the Bayes classifier applied to …
SIGNAL PROCESSING, 88 (12), pp. 2956-2970 2008
141. Sima, C., Dougherty, E.R.
The peaking phenomenon in the presence of feature-selection
PATTERN RECOGNITION LETTERS Volume: 29 Issue: 11 Pages: 1667-1674 Published:
AUG 1 2008
142. Judson R, Elloumi F, Setzer RW, et al.
A comparison of machine learning algorithms for chemical toxicity classification using a simulated
multi-scale data model
BMC BIOINFORMATICS Volume: 9 Article Number: 241 Published: MAY 19 2008
143. Lee G, Bulitko V, Levner I
HSMM: Heuristic search with meta-models for image interpretation
JOURNAL OF MULTIPLE-VALUED LOGIC AND SOFT COMPUTING Volume: 14 Issue:
1-2 Pages: 129-143 Published: 2008
144. Deronde, B., Kempeneers, P., Houhuys, R., Henriet, J.-P., Van Lancker, V.
Sediment facies classification of a sandy shoreline by means of airborne imaging spectroscopy
INTERNATIONAL JOURNAL OF REMOTE SENSING Volume: 29 Issue: 15 Pages: 44634477 Published: 2008
145. Marinakis, Y., Marinaki, M., Dounias, G.
Particle swarm optimization for pap-smear diagnosis
EXPERT SYSTEMS WITH APPLICATIONS Volume: 35 Issue: 4 Pages: 1645-1656
Published: APRIL 2008
146. Pineda M, Soukupova J, Matous K, et al.
Conventional and combinatorial chlorophyll fluorescence imaging of tobamovirus-infected plants
PHOTOSYNTHETICA Volume: 46 Issue: 3 Pages: 441-451 Published: SEP 2008
147. Wieczorek, T., Blachnik, M., Ma̧cZka, K.
Building a model for time reduction of steel scrap meltdown in the electric arc furnace (EAF):
General strategy with a comparison of feature selection methods
LECTURE NOTES IN COMPUTER SCIENCE 5097 LNAI: 1149-1159 2008
148. Mita T, Kaneko T, Stenger B, et al.
Discriminative feature co-occurrence selection for object detection
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE
INTELLIGENCE Volume: 30 Issue: 7 Pages: 1257-1269 Published: JUL 2008
149. Glotsos D, Kalatzis L, Spyridonos P, et al
Improving accuracy in astrocytomas grading by integrating a robust least squares mapping driven
support vector machine classifier into a two level grade classification scheme
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE Volume: 90 Issue:
3 Pages: 251-261 Published: JUNE 2008
150. M Dalponte, L Bruzzone, D Gianelle
Fusion of Hyperspectral and LIDAR Remote Sensing Data for Classification of Complex Forest
Areas
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, VOL. 46, NO. 5, MAY
2008
151. Basiri, M.E., Ghasem-Aghaee, N., Aghdam, M.H.
Using ant colony optimization-based selected features for predicting post-synaptic activity in
proteins
LECTURE NOTES IN COMPUTER SCIENCE 4973 LNCS: 12-23 2008
152. D Gonzalez-Jimenez Improvements in Pose Invariance and Local Description for Gabor-based 2D Face Recognition
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153. Zhong, P. Zhang, P. Wang, R.
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Dynamic Learning of SMLR for Feature Selection and Classification of Hyperspectral Data
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, VOL. 5, NO. 2, 280-284, APRIL
2008
154. Huang YJ, Lee FF
Classification of phalaenopsis plantlet parts and identification of suitable grasping point for automatic
transplanting using machine vision
APPLIED ENGINEERING IN AGRICULTURE Volume: 24 Issue: 1 Pages: 89-99
Published: JAN 2008
155. Marinaki, M., Marinakis, Y., Doumpos, M., Matsatsinis, N., Zopounidis, C.
A comparison of several nearest neighbor classifier metrics using Tabu Search algorithm for
the feature selection problem
OPTIMIZATION LETTERS 2 (3), pp. 299-308, 2008
156. Honkela A, Seppae J, Alhoniemi E
Agglomerative independent variable group analysis
NEUROCOMPUTING Volume: 71 Issue: 7-9 Pages: 1311-1320 Published: MAR 2008
157. Huang JJ, Cai YZ, Xu XM
A parameterless feature ranking algorithm based on MI
NEUROCOMPUTING Volume: 71 Issue: 7-9 Pages: 1656-1668 Published: MAR 2008
158. Dalponte M, Bruzzone L, Gianelle D
Fusion of hyperspectral and LIDAR remote sensing data for classification of complex forest areas
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING Volume: 46 Issue:
5 Pages: 1416-1427 Published: MAY 2008
159. Matsopoulos, G.K., Asvestas, P.A., Delibasis, K.K., Mouravliansky, N.A., Zeyen, T.G.
Detection of glaucomatous change based on vessel shape analysis
COMPUTERIZED MEDICAL IMAGING AND GRAPHICS Volume: 32 Issue: 3 Pages:
183-192 Published: APR 2008
160. Hong Y, Kwong S, Chang YC, et al.
Consensus unsupervised feature ranking from multiple views
PATTERN RECOGNITION LETTERS Volume: 29 Issue: 5 Pages: 595-602 Published: APR
1 2008
161. Gan ZH, Chow TWS, Huang D
Effective gene selection method using Bayesian discriminant based criterion and genetic algorithms
JOURNAL OF SIGNAL PROCESSING SYSTEMS FOR SIGNAL IMAGE AND VIDEO
TECHNOLOGY Volume: 50 Issue: 3 Pages: 293-304 Published: MAR 2008
162. Oduntan IO, Toulouse M, Baumgartner R, et al.
A multilevel tabu search algorithm for the feature selection problem in biomedical data
COMPUTERS & MATHEMATICS WITH APPLICATIONS Volume: 55 Issue: 5 Pages:
1019-1033 Published: MAR 2008
163. Zhang LP, Zhao YD, Huang B, et al.
Texture feature fusion with neighborhood oscillating tabu search for high resolution image
classification
PHOTOGRAMMETRIC ENGINEERING AND REMOTE SENSING Volume: 74 Issue:
3 Pages: 323-331 Published: MAR 2008
164. Demir B, Erturk S
Phase correlation based redundancy removal in feature weighting band selection for hyperspectral
images
INTERNATIONAL JOURNAL OF REMOTE SENSING Volume: 29 Issue: 6 Pages: 18011807 Published: 2008
165. Romero E, Sopena JM
Performing feature selection with multilayer perceptrons
IEEE TRANSACTIONS ON NEURAL NETWORKS Volume: 19 Issue: 3 Pages: 431441 Published: MAR 2008
166. Deronde B, Houthuys R, Henriet JP, et al.
Monitoring of the sediment dynamics along a sandy shoreline by means of airborne hyperspectral
remote sensing and LIDAR: a case study in Belgium
EARTH SURFACE PROCESSES AND LANDFORMS Volume: 33 Issue: 2 Pages: 280294 Published: FEB 2008
167. Harrison RF, Kennedy RL
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Automatic covariate selection in logistic models for chest pain diagnosis: A new approach
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE Volume: 90 Issue:
3 Pages: 301-312 Published: MAR 2008
168. Nanni L, Lumini A
Wavelet decomposition tree selection for palm and face authentication
PATTERN RECOGNITION LETTERS Volume: 29 Issue: 3 Pages: 343-353 Published: FEB
1 2008
169. Lin JY, Ke HR, Chien BC, et al.
Classifier design with feature selection and feature extraction using layered genetic programming
EXPERT SYSTEMS WITH APPLICATIONS Volume: 34 Issue: 2 Pages: 13841393 Published: FEB 2008
170. Lin SW, Tseng TY, Chou SY, et al.
A simulated-annealing-based approach for simultaneous parameter optimization and feature selection
of back-propagation networks
EXPERT SYSTEMS WITH APPLICATIONS Volume: 34 Issue: 2 Pages: 1491-1499
Published: FEB 2008
171. Zhao CH, Wang F, Mao ZZ, et al.
Improved knowledge extraction and phase-based quality prediction for batch processes
INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH Volume: 47 Issue: 3 Pages:
825-834 Published: FEB 6 2008
172. Chuang LY, Chang HW, Tu CJ, et al.
Improved binary PSO for feature selection using gene expression data
COMPUTATIONAL BIOLOGY AND CHEMISTRY Volume: 32 Issue: 1 Pages: 2938 Published: FEB 2008
173. Yi Hong, Sam Kwong, Yuchou Chang, Qingsheng Ren
Consensus unsupervised feature ranking from multiple views
PATTERN RECOGNITION LETTERS Volume: 29 Issue: 5 Pages: 595-602 Published: 2008
174. Every MR
Discriminating between pitched sources in music audio
IEEE TRANSACTIONS ON AUDIO SPEECH AND LANGUAGE PROCESSING Volume:
16 Issue: 2 Pages: 267-277 Published: 2008
175. Lumini A, Nanni L
Advanced methods for two-class pattern recognition problem formulation for minutiae-based
fingerprint verification
PATTERN RECOGNITION LETTERS Volume: 29 Issue: 2 Pages: 142-148 Published: 2008
176. Clarke R, Ressom HW, Wang AT, et al.
The properties of high-dimensional data spaces: implications for exploring gene and protein
expression data
NATURE REVIEWS CANCER Volume: 8 Issue: 1 Pages: 37-49 Published: 2008
177. van Rikxoort EM, van Ginneken B, Klik M, et al.
Supervised enhancement filters: Application to fissure detection in chest CT scans
IEEE TRANSACTIONS ON MEDICAL IMAGING Volume: 27 Issue: 1 Pages: 110 Published: 2008
178. Oduntan, I.O., Toulouse, M., Baumgartner, R., Bowman, C., Somorjai, R., Crainic, T.G.
A multilevel tabu search algorithm for the feature selection problem in biomedical data
COMPUTERS AND MATHEMATICS WITH APPLICATIONS 55 (5), pp. 1019-1033, 2008
179. Matsopoulos, G.K., Asvestas, P.A., Delibasis, K.K., Mouravliansky, N.A., Zeyen, T.G.
Detection of glaucomatous change based on vessel shape analysis
COMPUTERIZED MEDICAL IMAGING AND GRAPHICS 32 (3), pp. 183-192, 2008
180. Harrison, R.F., Kennedy, R.L.
Automatic covariate selection in logistic models for chest pain diagnosis: A new approach
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE 89 (3), pp. 301-312, 2008
181. Lee, G., Bulitko, V., Levner, I.
HSMM: Heuristic Search with Meta-Models for image interpretation
JOURNAL OF MULTIPLE-VALUED LOGIC AND SOFT COMPUTING 14 (1-2), pp. 129143, 2008
182. Pujol, O., Escalera, S., Radeva, P.
An incremental node embedding technique for error correcting output codes
PATTERN RECOGNITION 41 (2), pp. 713-725, 2008
183. Lin, S.-W., Tseng, T.-Y., Chou, S.-Y., Chen, S.-C.
14
A simulated-annealing-based approach for simultaneous parameter optimization and feature selection
of back-propagation networks
EXPERT SYSTEMS WITH APPLICATIONS 34 (2), pp. 1491-1499, 2008
184. Lin, J.-Y., Ke, H.-R., Chien, B.-C., Yang, W.-P.
Classifier design with feature selection and feature extraction using layered genetic programming
EXPERT SYSTEMS WITH APPLICATIONS 34 (2), pp. 1384-1393, 2008
185. Huang, D., Chow, T.W.
Towards the enhancement of gene selection performance
COMPUTATIONAL INTELLIGENCE IN BIOINFORMATICS 94, pp. 219-236, 2008
186. YJ Huang, FF Lee
Classification of Phalaenopsis Plantlet Parts and Identification of Suitable Grasping Point for …
APPLIED ENGINEERING IN AGRICULTURE 24(1): 89‐ 99 E 2008
187. Li YH, Dong M, Hua J
Localized feature selection for clustering
PATTERN RECOGNITION LETTERS 29 (1): 10-18 JAN 1 2008
188. Maillot NE, Thonnat M
Ontology based complex object recognition
IMAGE AND VISION COMPUTING 26 (1): 102-113 Sp. Iss. SI JAN 1 2008
189. Honkela, A., Seppä, J., Alhoniemi, E.
Agglomerative independent variable group analysis
NEUROCOMPUTING 71 (7-9), pp. 1311-1320, 2008
190. Huang, J.-J., Cai, Y.-Z., Xu, X.-M.
A parameterless feature ranking algorithm based on MI
NEUROCOMPUTING 71 (7-9), pp. 1656-1668, 2008
191. Pujol O, Escalera S, Radeva P
An incremental node embedding technique for error correcting output codes
PATTERN RECOGNITION 41 (2): 713-725 FEB 2008
192. Sasikala, M., Kumaravel, N.
A wavelet-based optimal texture feature set for classification of brain tumours
JOURNAL OF MEDICAL ENGINEERING AND TECHNOLOGY 32 (3), pp. 198-205, 2008
193. E Courses, T Surveys
Discriminating Between Pitched Sources in Music Audio
IEEE TRANSACTIONS ON Audio, Speech, and Language Processing, 2008
194. B Schuller, G Rigoll, S Can, H Feussner
Emotion Sensitive Speech Control for Human-Robot Interaction in Minimal Invasive Surgery
- Robot and Human Interactive Communication, 2008. RO-MAN 2008 - mmk.e-technik.tumuenchen.de
195. LYC Cheng-San Yang, CH Ho, CH Yang
Microarray Data Feature Selection Using Hybrid GA-IBPSO
Trends in Intelligent Systems and Computer Engineering, 2008 – Springer
196. F Meng, X Kong, X You
A NEW FEATURE-BASED METHOD FOR SOURCE CAMERA IDENTIFICATION
Advances in Digital Forensics IV, 2008 - Springer
197. Ye, Y., Yan, H., Lu, H.
Feature selection based on IB theory
2008 7TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION,
VOLS 1-23 Pages: 2737-2742 Published: 2008
198. Nikam, S.B., Agarwal, S.
Texture and wavelet-based spoof fingerprint detection for fingerprint biometric systems
Proceedings - 1st International Conference on Emerging Trends in Engineering and Technology,
ICETET 2008, art. no. 4579985, pp. 675-680, 2008
199. Huang, R., Li, X.
Band selection based on evolution algorithm and sequential search for hyperspectral
classification
ICALIP 2008 - 2008 International Conference on Audio, Language and Image Processing,
Proceedings, art. no. 4590145, pp. 1270-1273, 2008
200. Lopes, F.M., Cesar Jr., R.M., Costa, L.D.F.
AGN simulation and validation model
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and
Lecture Notes in Bioinformatics) 5167 LNBI, pp. 169-173, 2008-09-30, 2008
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201. Tsai, M.-J., Wang, C.-S.
Adaptive feature selection for digital camera source identification
Proceedings - IEEE International Symposium on Circuits and Systems, art. no. 4541442, pp. 412-415,
2008
202. Sima, C., Dougherty, E.R.
The peaking phenomenon revisited: The case with feature selection
GENSIPS'08 - 6th IEEE International Workshop on Genomic Signal Processing and Statistics, art.
no. 4555663, 2008
203. Schuller, B., Wimmer, M., Mösenlechner, L., Kern, C., Arsic, D., Rigoll, G.
Brute-forcing hierarchical functionals for paralinguistics: A waste of feature space?
ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings,
art. no. 4518656, pp. 4501-4504, 2008
204. Sun, Y., Wu, D.
A RELIEF based feature extraction algorithm
Society for Industrial and Applied Mathematics - 8th SIAM International Conference on Data Mining
2008, Proceedings in Applied Mathematics 130 1, pp. 188-195, 2008
205. Sun, L., Zhang, Y., Guindon, B.
Improved iterative error analysis for endmember extraction from hyperspectral imagery
Proceedings of SPIE - The International Society for Optical Engineering 7086, art. no. 70860S, 2008
206. Galbally, J., Fierrez, J., Ortega-Garcia, J.
Performance and robustness: A trade-off in dynamic signature verification
ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings,
art. no. 4517955, pp. 1697-1700, 2008
207. Gul, G., Kurugollu, F.
Detection of watermarking methods using steganalysis
ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings,
art. no. 4517962, pp. 1725-1728, 2008
208. Hupse, R., Karssemeijer, N.
Feature selection for computer-aided detection: Comparing different selection criteria
Progress in Biomedical Optics and Imaging - Proceedings of SPIE 6915, art. no. 691503, 2008
209. Sertel, O., Kong, J., Shimada, H., Catalyurek, U., Saltz, J.H., Gurcan, M.
Computer-aided prognosis of neuroblastoma: Classification of stromal development on wholeslide images
Progress in Biomedical Optics and Imaging - Proceedings of SPIE 6915, art. no. 69150P, 2008
210. Van Ginneken, B., Tan, A., Murphy, K., De Hoop, B.-J., Prokop, M.
Automated detection of nodules attached to the pleural and mediastinal surface in low-dose CT
scans
Progress in Biomedical Optics and Imaging - Proceedings of SPIE 6915, art. no. 69150X, 2008
211. X Zhang, X Wang, H Guo, Z Guo, X Wu, Z Su
Floatcascade learning for fast imbalanced web mining
Proceeding of the 17th international conference on World Wide Web, pp. 71-80, 2008
212. Lo, P., De Bruijne, M.
Voxel classification based airway tree segmentation
Progress in Biomedical Optics and Imaging - Proceedings of SPIE 6914, art. no. 69141K, 2008
213. Geetha, S., Sivatha Sindhu, S.S., Kamaraj, N.
Evolving GA classifier for breaking the steganographic utilities: Stools, steganos and jsteg
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349. Nanni L, Lumini A
MppS: An ensemble of support vector machine based on multiple physicochemical properties of
amino acids
NEUROCOMPUTING 69 (13-15): 1688-1690 AUG 2006
350. Lumini A, Nanni L
An advanced multi-modal method for human authentication featuring biometrics data and tokenised
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NEUROCOMPUTING 69 (13-15): 1706-1710 AUG 2006
351. Raudys S.
Feature Over-Selection
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LECTURE NOTES IN COMPUTER SCIENCE 4109: 622-631, 2006
352. Reunanen J
Less biased measurement of feature selection benefits
LECTURE NOTES IN COMPUTER SCIENCE 3940: 198-208 2006
353. Rodriguez-Damian M, Cernadas E, Formella A, et al.
Automatic detection and classification of grains of pollen based on shape and texture
IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART C-APPLICATIONS
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354. Rosin PL
Training cellular automata for image processing
IEEE TRANSACTIONS ON IMAGE PROCESSING 15 (7): 2076-2087 JUL 2006
355. Lai C, Reinders MJT, Wessels L
Random subspace method for multivariate feature selection
PATTERN RECOGNITION LETTERS 27 (10): 1067-1076 JUL 15 2006
356. Miteran J, Bouillant S, Paindavoine M, et al.
Real-time flaw detection on a complex object: comparison of results using classification with a
support vector machine, boosting, and hyperrectangle-based method
JOURNAL OF ELECTRONIC IMAGING 15 (1): Art. No. 013018 JAN-MAR 2006
357. Nanni L, Lumini A
An ensemble of K-local hyperplanes for predicting protein-protein interactions
BIOINFORMATICS 22 (10): 1207-1210 MAY 15 2006
358. Tossavainen T, Toppila E, Pyykko M, et al.
Virtual reality in posturography
IEEE TRANSACTIONS ON INFORMATION TECHNOLOGY IN BIOMEDICINE 10 (2): 282-292
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359. Townsend G, Graimann B, Pfurtscheller G
A comparison of common spatial patterns with complex band power features in a four-class BCI
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IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING 53 (4): 642-651 APR 2006
360. J Hua, Y Balagurunathan, Y Chen, J Lowey, ML
Normalization Benefits Microarray-Based Classification
EURASIP JOURNAL ON BIOINFORMATICS AND SYSTEMS BIOLOGY 2006, pp. 1-13
361. LFA Wessels-lfa
A comparison of univariate and multivariate gene selection techniques for classification of cancer …
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362. Peterson DA, Knight JN, Kirby MJ, et al.
Feature selection and blind source separation in an EEG-based brain-computer interface
EURASIP JOURNAL ON APPLIED SIGNAL PROCESSING 2005 (19): 3128-3140 2005
363. Cord A, Ambroise C, Cocquerez JP
Feature selection in robust clustering based on Laplace mixture
PATTERN RECOGNITION LETTERS 27 (6): 627-635 APR 15 2006
364. Nanni L
Cluster-based pattern discrimination: A novel technique for feature selection
PATTERN RECOGNITION LETTERS 27 (6): 682-687 APR 15 2006
365. Choudhary A, Brun M, Hua JP, et al.
Genetic test bed for feature selection
BIOINFORMATICS 22 (7): 837-842 APR 1 2006
366. Abe N, Kudo M
Non-parametric classifier-independent feature selection
PATTERN RECOGNITION 39 (5): 737-746 MAY 2006
367. Redmond SJ, Heneghan C
Cardiorespiratory-based sleep staging in subjects with obstructive sleep apnea
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING 53 (3): 485-496 MAR 2006
368. Li GZ, Yang J, Ye CZ, et al.
Degree prediction of malignancy in brain glioma using support vector machines
COMPUTERS IN BIOLOGY AND MEDICINE 36 (3): 313-325 MAR 2006
369. Timp S, Karssemeijer N
Interval change analysis to improve computer aided detection in mammography
MEDICAL IMAGE ANALYSIS 10 (1): 82-95 FEB 2006
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370. Muni DP, Pal NR, Das J
Genetic programming for simultaneous feature selection and classifier design
IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS 36
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371. J Mitéran, S Bouillant, M Paindavoine, F …
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372. Avcibas I
Audio steganalysis with content-independent distortion measures
IEEE SIGNAL PROCESSING LETTERS 13 (2): 92-95 FEB 2006
373. Z Jiang, K Yamauchi, K Yoshioka, K Aoki, S …
Support Vector Machine-Based Feature Selection for Classification of Liver Fibrosis Grade in
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JOURNAL OF MEDICAL SYSTEMS 30 (5), pp. 389-394, 2006
374. X Wu, Y Gan, H Wang, X Hu
Feature Selection: Algorithms and Challenges
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375. Yang, C.-H., Tu, C.-J., Chang, J.-Y., Liu, H.-H., Ko, P.-C.
Dimensionality reduction using GA-PSO
Proceedings of the 9th Joint Conference on Information Sciences, JCIS 2006 2006, art. no. CIEF-130,
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376. Senturk, A., Gurgen, F.S.
The usage of independent component analysis for robust speaker verification
Proceedings of the IASTED International Conference on Artificial Intelligence and Applications,
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377. Kim, Y.B., Gao, J.
Unsupervised gene selection for high dimensional data
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378. Michalak, K., Kwaśnicka, H.
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INTERNATIONAL JOURNAL OF APPLIED MATHEMATICS AND COMPUTER SCIENCES 16
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379. Abràmoff, M.D., Niemeijer, M.
The automatic detection of the optic disc location in retinal images using optic disc location
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380. Zhou, X., Wang, H., Wang, J., Hoehn, G., Azok, J., Brennan, M.-L., Hazen, S.L., (...), Wong, S.T.C.
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381. Shoorehdeli, M.A., Teshnehlab, M., Moghaddam, H.A.
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382. Bajcsy, P., Feng, W.-W., Kumar, P.
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383. Hocquet, S., Ramel, J.-Y., Cardot, H.
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384. Condurache, A.P., Aach, T.
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385. Reunanen, J.
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386. Stathakis, D., Topouzelis, K., Karathanassi, V.
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Proceedings of SPIE - The International Society for Optical Engineering 6365, art. no. 636513
387. Matous, K., Benediktyová, Z., Berger, S., Roitsch, T., Nedbal, L.
Case study of combinatorial imaging: What protocol and what chlorophyll fluorescence image to use
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388. Nakariyakul, S., Casasent, D.
New adaptive branch and bound algorithm for hyperspectral waveband selection for chicken skin
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389. Zhang, Z., Potamianos, G., Liu, M., Huang, T.
Robust multi-view multi-camera face detection inside smart rooms using spatio-temporal dynamic
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390. Lee, G., Bulitko, V.
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GECCO 2006 - Genetic and Evolutionary Computation Conference 2, pp. 1697-1704
391. Theiler, J., Glocer, K.
Sparse linear filters for detection and classification in hyperspectral imagery
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392. Nakariyakul, S., Casasent, D.P.
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393. Wang, L., Zhang, Z., Cao, C., Dong, L.
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394. Nanni, L., Maio, D.
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395. J Reneker, CR Shyu
Applying Sequential Forward Floating Selection to Protein Structure Prediction with a Study of HIV1…
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396. GZ Yang, X Hu
Multi-Sensor Fusion
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397. P Zhang
Reliable Recognition of Handwritten Digits Using A Cascade Ensemble Classifier System and
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398. Martins DC, Cesar RM, Barrera J
Automatic window design for gray-scale image processing based on entropy minimization
LECTURE NOTES IN COMPUTER SCIENCE 3773: 813-824 2005
399. Tahir MA, Bouridane A, Kurugollu F, et al.
A novel prostate cancer classification technique using intermediate memory tabu search
EURASIP JOURNAL ON APPLIED SIGNAL PROCESSING 2005 (14): 2241-2249 AUG 11 2005
400. Zhang ZQ, Potamianos G, Senior A, et al.
A joint system for person tracking and face detection
LECTURE NOTES IN COMPUTER SCIENCE 3766: 47-59 2005
401. Liu XM, Yin JW, Dong JX, et al.
An improved FloatBoost algorithm for Naive Bayes text classification
LECTURE NOTES IN COMPUTER SCIENCE 3739: 162-171 2005
402. Maio D, Nanni L
Multihashing, human authentication featuring biometrics data and tokenized random number: A case
study FVC2004
NEUROCOMPUTING 69 (1-3): 242-249 DEC 2005
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403. Simila T, Laine S
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INTERNATIONAL JOURNAL OF NEURAL SYSTEMS 15 (1-2): 101-110 FEB-APR 2005
404. Farmer ME, Jain AK
A wrapper-based approach to image segmentation and classification
IEEE TRANSACTIONS ON IMAGE PROCESSING 14 (12): 2060-2072 DEC 2005
405. Dougherty ER, Datta A, Sima C
Research issues in genomic signal processing
IEEE SIGNAL PROCESSING MAGAZINE 22 (6): 46-68 NOV 2005
406. Stratigopoulos HGD, Makris Y
Nonlinear decision boundaries for testing analog circuits
IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND
SYSTEMS 24 (11): 1760-1773 NOV 2005
407. Li CZ, Yang J, Yao LX, et al.
Study on sherds excavated in Laohudong Kiln by chemometrics method
CHINESE JOURNAL OF ANALYTICAL CHEMISTRY 33 (10): 1465-1468 OCT 2005
408. Redpath DB, Lebart K
Boosting Feature Selection
LECTURE NOTES IN COMPUTER SCIENCE 3686: 305-314 2005
409. Le DD, Satoh S
An efficient feature selection method for object detection
LECTURE NOTES IN COMPUTER SCIENCE 3686: 461-468 2005
410. He MY, Huang R
Feature selection for hyperspectral data classification using double parallel feedforward neural
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LECTURE NOTES IN ARTIFICIAL INTELLIGENCE 3614: 58-66 Part 2 2005
411. Sima C, Attoor S, Brag-Neto U, et al.
Impact of error estimation on feature selection
PATTERN RECOGNITION 38 (12): 2472-2482 DEC 2005
412. Sun YJ, Li J
Adaptive learning approach to landmine detection
IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS 41 (3): 973-985 JUL
2005
413. Somol P, Baesens B, Pudil P, et al.
Filter- versus wrapper-based feature selection for credit scoring
INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS 20 (10): 985-999 OCT 2005
414. Rosin PL
Training cellular automata for image processing
LECTURE NOTES IN COMPUTER SCIENCE 3540: 195-204 2005
415. Huang R, He MY
Band selection based on feature weighting for classification of hyperspectral data
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS 2 (2): 156-159 APR 2005
416. De Backer S, Kempeneers P, Debruyn W, et al.
A band selection technique for spectral classitication
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS 2 (3): 319-323 JUL 2005
417. Pudimat R, Schukat-Talamazzini EG, Backofen R
A multiple-feature framework for modelling and predicting transcription factor binding sites
BIOINFORMATICS 21 (14): 3082-3088 JUL 15 2005
418. Silva PJS, Hashimoto RF, Kim SC, et al.
Feature selection algorithms to find strong genes
PATTERN RECOGNITION LETTERS 26 (10): 1444-1453 JUL 15 2005
419. Coetzee FM
Correcting the Kullback-Leibler distance for feature selection
PATTERN RECOGNITION LETTERS 26 (11): 1675-1683 AUG 2005
420. Peng HC, Long FH, Ding C
Feature selection based on mutual information: Criteria of max-dependency, max-relevance, and minredundancy
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE 27 (8):
1226-1238 AUG 2005
28
421. Guo GD, Dyer CR
Learning from examples in the small sample case: Face expression recognition
IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS 35
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422. CL Lu, YP Huang
A memory-efficient algorithm for multiple ...
BIOINFORMATICS 21 (1): 20-30 2005
423. Cernadas E, Carrion P, Rodriguez PG, et al.
Analyzing magnetic resonance images of Iberian pork loin to predict its sensorial characteristics
COMPUTER VISION AND IMAGE UNDERSTANDING 98 (2): 345-361 MAY 2005
424. Hsing TL, Liu LY, Brun M, et al.
The coefficient of intrinsic dependence (feature selection using el CID)
PATTERN RECOGNITION 38 (5): 623-636 MAY 2005
425. Hua JP, Xiong ZX, Lowey J, et al.
Optimal number of features as a function of sample size for various classification rules
BIOINFORMATICS 21 (8): 1509-1515 APR 15 2005
426. Zhou X, Mao KZ
LS Bound based gene selection for DNA microarray data
BIOINFORMATICS 21 (8): 1559-1564 APR 15 2005
427. Mao KZ
Identifying critical variables of principal components for unsupervised feature selection
IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS 35
(2): 339-344 APR 2005
428. Kempeneers P, de Backer S, Debruyn W, et al.
Generic wavelet-based hyperspectral classification applied to vegetation stress detection
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING 43 (3): 610-614 MAR 2005
429. Backer E, van Kranenburg P
On musical stylometry - a pattern recognition approach
PATTERN RECOGNITION LETTERS 26 (3): 299-309 FEB 2005
430. Sun Y, Li X, Li J
Practical landmine detector using forward-looking ground penetrating radar
ELECTRONICS LETTERS 41 (2): 97-98 JAN 20 2005
431. Ahmad A, Dey L
A feature selection technique for classificatory analysis
PATTERN RECOGNITION LETTERS 26 (1): 43-56 JAN 2005
432. Pernkopf F
Bayesian network classifiers versus selective k-NN classifier
PATTERN RECOGNITION 38 (1): 1-10 JAN 2005
433. E Cernadas, P Carrión, PG Rodriguez, E Muriel, T …
Analyzing magnetic resonance images of Iberian pork loin to predict its sensorial characteristics
COMPUTER VISION AND IMAGE UNDERSTANDING 2005 – Elsevier
434. A Al-Ani
Feature Subset Selection Using Ant Colony Optimization
INTERNATIONAL JOURNAL OF COMPUTATIONAL INTELLIGENCE 2005 - enformatika.org
435. AD Parkins, AK Nandi
Method for calculating first-order derivative based feature saliency information in a trained neural …
IEE Proceedings: Vision, Image and Signal Processing 152 (2), pp. 137-147, 2005ieeexplore.ieee.org
436. Stratigopoulos H.-G.D., Makris, Y.
Generating decision regions in analog measurement spaces
Proceedings of the ACM Great Lakes Symposium on VLSI, GLSVLSI, art. no. P1.5, pp. 88-91, 2005
437. FX Song, XM Gao, SH Liu, JY Yang
Dimensionality reduction in statistical pattern recognition and low loss dimensionality reduction.
CHINESE JOURNAL OF COMPUTERS (Jisuanji Xuebao), 28 (11), pp. 1915-1922, 2005 - csa.com
438. Zhang, P., Bui, T.D., Suen, C.Y.
Hybrid feature extraction and feature selection for improving recognition accuracy of handwritten
numerals
Proceedings of the International Conference on Document Analysis and Recognition, ICDAR 2005,
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439. Song, X., Fan, G.
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Key-frame extraction for object-based video segmentation
ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
II, art. no. 1415498, pp. II689-II69, 2005
440. Zhao, Y., Zhang, L., Li, P.
Texture feature fusion for high resolution satellite image classification
Proceedings of the Conference on Computer Graphics, Imaging and Vision: New Trends 2005, art.
no. 1521033, pp. 19-23, 2005
441. Li, J., Yao, J., Summers, R.M., Hara, A.
An efficient feature selection algorithm for computer-aided polyp detection
Proceedings of the Eighteenth International Florida Artificial Intelligence Research Society
Conference, FLAIRS 2005 - Recent Advances in Artifical Intelligence, pp. 381-386, 2005
442. Sun, Y., Babbs, C.F., Delp, E.J.
A comparison of feature selection methods for the detection of breast cancers in mammograms:
Adaptive sequential floating search vs. genetic algorithm
Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings 7
VOLS, art. no. 1615996, pp. 6532-6535, 2005
443. Sun, Y., Li, J.
Landmine detection using forward-looking ground penetrating radar
Proceedings of SPIE - The International Society for Optical Engineering 5794 (PART II), art. no.
113, pp. 1089-1097, 2005
444. Zachery, K.N., Schultz, G.M., Collins, L.M.
Force Protection Demining System (FPDS) detection subsystem
Proceedings of SPIE - The International Society for Optical Engineering 5794 (PART II), art. no.
106, pp. 1018-1029, 2005
445. Ross, A., Govindarajan, R.
Feature level fusion using hand and face biometrics
Proceedings of SPIE - The International Society for Optical Engineering 5779, art. no. 23, pp. 196204, 2005
446. Yan, W., Goebel, K.F.
Feature selection for partial discharge diagnosis
Proceedings of SPIE - The International Society for Optical Engineering 5768, pp. 166-175, 2005
447. T Tossavainen
Feature Subset Selection for a Diagnostic Test of Human Balance
Connecting Medical Informatics and Bio-Informatics R. Engelbrecht et al. (Eds.)
ENMI, pp. 1117-1122, 2005- magic5.unile.it
448. Li, G., Yang, J., Yao, L., Lu, W., Chen, N.
Study on sherds excavated in Laohudong Kiln by chemometrics method
Fenxi Huaxue 33 (10), pp. 1465-1468, 2005
449. Li, Y.-X., Liu, Q.-J., Ruan, X.-G.
Analysis of leukemia gene expression profiles and subtype informative genes identification
Chinese Journal of Biomedical Engineering 24 (2), pp. 240-244, 2005
450. Li, Y.-X., Ruan, X.-G.
Cancer subtype recognition and feature selection with gene expression profiles
Tien Tzu Hsueh Pao/Acta Electronica Sinica 33 (4), pp. 651-655, 2005
451. Doumpos, M., Salappa, A.
Feature selection algorithms in classification problems: An experimental evaluation
WSEAS Transactions on Information Science and Applications 2 (2), pp. 77-82, 2005
452. E Byvatov
Virtual Screening of Potential Bioactive Substances using the Support Vector Machine approach
PhD disertation 2005 - publikationen.ub.uni-frankfurt.de
453. M Koprnicky
Towards a Versatile System for the Visual Recognition of Surface Defects - 2005 PhD disertation 2005 - train2.lib.uwaterloo.catrain2.lib.uwaterloo.ca
454. H Nicponski
In-plane rotation invariant object detection in digitized images
United States Patent 20050105805 - 2005 - freepatentsonline.com
455. Blanco R, Larranaga P, Inza I, et al.
Gene selection for cancer classification using wrapper approaches
INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL
INTELLIGENCE 18 (8): 1373-1390 DEC 2004
30
456. Sierra B, Lazkano E, Martinez-Otzeta JM, et al.
Combining Bayesian networks, k nearest neighbours algorithm and attribute selection for gene
expression data analysis
LECTURE NOTES IN ARTIFICIAL INTELLIGENCE 3339: 86-97 2004
457. Pernkopf F
Detection of surface defects on raw steel blocks using Bayesian network classifiers
PATTERN ANALYSIS AND APPLICATIONS 7 (3): 333-342 DEC 2004
458. Carrion P, Cernadas E, Galvez J, et al.
Classification of honeybee pollen using a multiscale texture filtering scheme
MACHINE VISION AND APPLICATIONS 15 (4): 186-193 OCT 2004
459. Yom-Tov E
An introduction to pattern classification
LECTURE NOTES IN ARTIFICIAL INTELLIGENCE 3176: 1-20 2004
460. Oh IS, Lee JS, Moon BR
Hybrid genetic algorithms for feature selection
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE 26 (11):
1424-1437 NOV 2004
461. Sun ZH, Bebis G, Miller R
Object detection using feature subset selection
PATTERN RECOGNITION 37 (11): 2165-2176 NOV 2004
462. Li SZ, Zhang ZQ
FloatBoost learning and statistical face detection
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE 26 (9):
1112-1123 SEP 2004
463. Melgani F, Bruzzone L
Classification of hyperspectral remote sensing images with support vector machines
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING 42 (8): 1778-1790 AUG
2004
464. Law MHC, Figueiredo MAT, Jain AK
Simultaneous feature selection and clustering using mixture models
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE 26 (9):
1154-1166 SEP 2004
465. Gunter S, Bunke H
Feature selection algorithms for the generation of multiple classifier systems and their application to
handwritten word recognition
PATTERN RECOGNITION LETTERS 25 (11): 1323-1336 AUG 2004
466. Kocsor A, Toth L
Kernel-based feature extraction with a speech technology application
IEEE TRANSACTIONS ON SIGNAL PROCESSING 52 (8): 2250-2263 AUG 2004
467. Keshava N
Distance metrics and band selection in hyperspectral processing with applications to material
identification and spectral libraries
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING 42 (7): 1552-1565 JUL
2004
468. Fortuna J, Capson D
Improved support vector classification using PCA and ICA feature space modificaion
PATTERN RECOGN 37 (6): 1117-1129 JUN 2004
469. Weyn B, Tjalma WAA, Vermeylen P, et al.
Determination of tumour prognosis based on angiogenesis-related vascular patterns measured by
fractal and syntactic structure analysis
CLIN ONCOL-UK 16 (4): 307-316 JUN 2004
470. Wang T, Rui Y, Sun JG
Improving retrieval performance by region constraints and relevance feedback
J COMPUT SCI TECHNOL 19 (3): 413-422 MAY 2004
471. Chu YH, Lee YH, Han CH
Improved quality estimation and knowledge extraction in a batch process by bootstrapping-based
generalized variable selection
IND ENG CHEM RES 43 (11): 2680-2690 MAY 26 2004
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472. Perner P, Apte C
Empirical evaluation of feature subset selection based on a real-world data set
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE 17 (3): 285-288 APR 2004
473. Lezoray O, Fournier D, Cardot H
Neural network induction graph for pattern recognition
NEUROCOMPUTING 57: 257-274 MAR 2004
474. Chu YH, Qin SJ, Han CH
Fault detection and operation mode identification based on pattern classification with variable
selection.
IND ENG CHEM RES 43 (7): 1701-1710 MAR 31 2004
475. Mutanga O, Skidmore AK
Integrating imaging spectroscopy and neural networks to map grass quality in the Kruger National
Park, South Africa
REMOTE SENS ENVIRON 90 (1): 104-115 MAR 15 2004
476. Niu ZY, Ji DH
Feature selection for Chinese character sense discrimination
LECT NOTES COMPUT SC 2945: 201-208 2004
477. Schulerud H, Albregtsen F
Many are called, but few are chosen. Feature selection and error estimation in high dimensional
spaces
COMPUT METH PROG BIO 73 (2): 91-99 FEB 2004
478. Mao KZ
Orthogonal forward selection and backward elimination algorithms for feature subret selection
IEEE T SYST MAN CY B 34 (1): 629-634 FEB 2004
479. Lindblad J, Wahlby C, Bengtsson E, et al.
Image analysis for automatic segmetation of cytoplasms and classification of Rac 1 activation
CYTOM PART A 57A (1): 22-33 JAN 2004
480. Martins Jr., D.C., Cesar Jr., R.M., Barrera, J.
W-operator window design by maximization of training data information
Brazilian Symposium of Computer Graphic and Image Processing, pp. 162-169, 2004
481. Duchesnay, E., Roche, A., Rivière, D., Papadopoulos, D., Cointepas, Y., Mangin, J.-F.
Population classification based on structural morphometry of cortical sulci
2nd IEEE International Symposium on Biomedical Imaging: Macro to Nano 2, pp. 1267-1270, 2004
482. Zhu, L., Luo, H., Ding, H.
Optimal measurement point planning for workpiece localization
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 2, pp. 1562-1567,
2004
483. De Sá-Otero, Ma.P., González, A.P., Rodríguez-Damián, M., Cernadas, E.
Computer-aided identification of allergenic species of Urticaceae pollen
GRANA 43 (4), pp. 224-230, December 2004
484. Weyn, B., Tjalma, W.A.A., Vermeylen, P., van Daele, A., Van Marck, E., Jacob, W.
Determination of tumour prognosis based on angiogenesis-related vascular patterns measured by
fractal and syntactic structure analysis
Clinical Oncology 16 (4), pp. 307-316, 2004
485. Chu, Y.-H., Lee, Y.-H., Han, C.
Improved quality estimation and knowledge extraction in a batch process by bootstrapping- based
generalized variable selection
INDUSTRIAL AND ENGINEERING CHEMISTRY RESEARCH 43 (11), pp. 2680-2690, 2004
486. Xu, T., He, R., Wang, P., Xu, D.
Short-term load forecasting based on input dimension reduction
Dianli Xitong Zidonghua/Automation of Electric Power Systems 28 (6), pp. 51-54+81, 2004
487. Wang, T., Rui, Y., Sun, J.-G.
Improving retrieval performance by region constraints and relevance feedback
JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY 19 (3), pp. 413-422, 2004
488. Chu, Y.-H., Qin, S.J., Han, C.
Fault Detection and Operation Mode Identification Based on Pattern Classification with Variable
Selection
INDUSTRIAL AND ENGINEERING CHEMISTRY RESEARCH 43 (7), pp. 1701-1710, 2004
489. Xu, T., He, R., Wang, P., Xu, D.
Input dimension reduction for load forecasting based on support vector machines
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Proceedings of the 2004 IEEE International Conference on Electric Utility Deregulation,
Restructuring and Power Technologies (DRPT2004) 2, pp. 510-514, 2004
490. Sun, Y., Li, J.
Boosting a wavelet packet transform based landmine detector
Proceedings of SPIE - The International Society for Optical Engineering 5415 (PART 2), pp. 13001309, 2004
491. Zhang, P., Suen, C.Y., Bui, T.D.
Multi-modal nonlinear feature reduction for the recognition of handwritten numerals
Proceedings - 1st Canadian Conference on Computer and Robot Vision, pp. 393-400, 2004
492.Bruzzone, L., Melgani, F.
Classification of Hyperspectral Images with Support Vector Machines: Multiclass Strategies
Proceedings of SPIE - The International Society for Optical Engineering 5238, pp. 408-419, 2004
493. Li, Y.-X., Zhu, Y.-H., Ruan, X.-G.
Gene selection for leukemia subtype classification from gene expression profile
Proceedings of 2004 International Conference on Machine Learning and Cybernetics 3, pp. 16611664, 2004
494. Chen, X.-W., Casasent, D.
Feature selection from high-dimensional hyperspectral and polarimetric data for target detection
Proceedings of SPIE - The International Society for Optical Engineering 5437, pp. 171-178, 2004
495. Rodríguez-Damián, M., Cernadas, E., Formella, A., Sá-Otero, P.
Pollen classification using brightness-based and shape-based descriptors
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496. Bouillant, S., Mitéran, J., Paindavoine, M., Mériaudeau, F.
Real-time flaw detection on complex part: Classification with SVM and hyperrectangle based
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497. Pernkopf, F.
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Proceedings of the National Conference on Artificial Intelligence, pp. 360-365, 2004
498. Ferguson, B., Liu, H., Hay, S., Findlay, D., Zhang, X.-C., Abbott, D.
In vitro osteosarcoma biosensing using THz time domain spectroscopy
Proceedings of SPIE - The International Society for Optical Engineering 5275, pp. 304-316, 2004
499. Sun, Y., Babbs, C.F., Delp, E.J.
A two-stage classifier system for normal mammogram identification
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500. Pernkopf F, O’Leary P
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PATTERN RECOGN LETT 24: (15) 2839-2848 NOV 2003
501. Gunter S, Bunke H
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LECT NOTES COMPUT SC 2781: 289-296 2003
502. Maenpaa T, Turtinen M, Pietikainen M
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503. Scott GJ, Shyu CR
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LECT NOTES COMPUT SC 2728: 467-476 2003
504. Raymer ML, Doom TE, Kuhn LA, et al.
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505. Gletsos M, Mougiakakou SG, Matsopoulos GK, et al.
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506. Codrea CM, Aittokallio T, Keranen M, et al.
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508. Tahri-Daizadeh N, Tregouet DA, Nicaud V, et al.
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510. Lezoray O, Elmoataz A, Cardot H
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511. Reunanen J
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512. Chen XW
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513. Antequera T, Muriel E, Rodriguez PG, et al.
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514. F Marcelloni
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516. Pabitra Mitra C. A. Murthy , Sankar K. Pal
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517. Perner P
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519. Li SZ, Zhu L, Zhang ZQ, et al.
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520. Inza I, Sierra B, Blanco R
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521. Last A, Bunke H, Kandel A
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522. Mao KZ
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523. van Ginneken B, Frangi AF, Staal JJ, et al.
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524. Kittler J, Messer K, Sadeghi M
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525. Egmont-Petersen M, de Ridder D, Handels H
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526. Pernkopf F, O'Leary P
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527. Aoki, K., Kudo, M.
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528. Schulerud H, Albregtsen F
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529. Paclik P, Duin RPW,van Kempen GMP and Kohlus R
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530. Kavzoglu T, Mather PMKa
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531. Verikas A, Bacauskiene M
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532. Xiong MM, Zhao JY, Boerwinkle E
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533. Mitra P, Murthy CA, Pal SK
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IEEE T PATTERN ANAL 24: (3) 301-312 MAR 2002
534. Pedrycz W, Vukovich G
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PATTERN RECOGN 35: (4) 825-834 APR 2002
535. Horng MH, Sun YN, Lin XZ
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536. Zhang HB, Sun GY
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PATTERN RECOGN 35: (3) 701-711 MAR 2002
537. Yu SX, De Backer S, Scheunders P
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PATTERN RECOGN LETT 23:(1-3) 183-190 JAN 2002
538. Xiong MM, Fang XZ, Zhao JY
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GENOME RES 11: (11) 1878-1887 NOV 2001
539. Schmid NA, O‘Sullivan JA
Thresholding Method for Dimensionality Reduction in Recognition Systems
IEEE T INFORM THEORY 47: (7) 2903-2920 NOV 2001
540. Inza I, Merino M, Larranaga P, Quiroga J, Sierra B, Girala M
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542. D Partridge, W Wang, P Jones
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543. Josso B, Burton DR, Lalor MJ
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544. Picard RW, Vyzas E, Healey J
Toward machine emotional intelligence: Analysis of affective physiological state
IEEE T PATTERN ANAL 23: (10) 1175-1191 OCT 2001
545. Perner P
Improving the accuracy of decision tree induction by feature preselection
APPL ARTIF INTELL 15: (8) 747-760 SEP 2001
546. Serpico SB, Bruzzone L
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IEEE T GEOSCI REMOTE 39: (7) 1360-1367 JUL 2001
547. Inza I, Larranaga P, Sierra B
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INT J APPROX REASON 27: (2) 143-164 AUG 2001
548. Ganster H, Pinz A, Rohrer R, et al.
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IEEE T MED IMAGING 20: (3) 233-239 MAR 2001
549. Vailaya A, Figueiredo MAT, Jain AK, et al.
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IEEE T IMAGE PROCESS 10: (1) 117-130 JAN 2001
550. Abe N, Kudo M, Toyama J,Shimbo M
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LECT NOTES COMPUT SC 1876, 668-676, 2000
551. Kudo M, Somol P, Shimbo M, Sklansky J
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552. Mayer HA, Somol P, Huber R.
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553. Messer K, Kittler J, Haddon J, et al.
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554. Kuncheva LI, Jain LC
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555. Inza I, Larranaga P, Etxeberria R, et al.
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556. Jain AK, Duin RPW, Mao JC
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557. Weyn B, Tjalma W, Van de Wouwer G, et al.
Validation of nuclear texture, density, morphometry and tissue syntactic structure analysis as
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558. Wiltschi K, Pinz A, Lindeberg T
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559. Raymer ML, Punch WE, Goodman ED, et al.
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IEEE T EVOLUT COMPUT 4: (2) 164-171 JUL 2000
560. Komosinski M, Krawiec K
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ARTIF INTELL MED 19: (1) 25-38 MAY 2000
561. Castellano G, Fanelli AM
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562. Bruzzone L, Serpico SB
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563. Van de Wouwer G, Weyn B, Scheunders P, et al.
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564. Kudo M, Sklansky J
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565. Tax DMJ, Ypma A, Duin RPW
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LECT NOTES COMPUT SC 1642: 415-425 1999
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567. Van de Wouwer G, Scheunders P, Van Dyck D
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IEEE T IMAGE PROCESS 8: (4) 592-598 APR 1999
568. Van de Wouwer G, Scheunders P, Livens S, et al.
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PATTERN RECOGN 32: (3) 443-451 MAR 1999
569. Scheunders P, De Backer S
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570. Weyn B, van de Wouwer G, Kumar-Singh S, et al
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CYTOMETRY 35: (1) 23-29 JAN 1 1999
571. Eklov T, Martensson P, Lundstrom I
Selection of variables for interpreting multivariate gas sensor data
ANAL CHIM ACTA 381: (2-3) 221-232 FEB 16 1999
572. SJ Greaves, H Muraoka, Y Sugita, Y Nakamura
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573. P Leray, P Gallinari
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575. Kudo M, Sklansky J
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576. De Backer S, Naud A, Scheunders P
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577. Weyn B, van de Wouwer G, van Daele A, et al.
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578. Abe S, Thavonmas R, Kobayashi Y
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IEEE T SYST MAN CY C 28: (2) 282-287 MAY 1998
579. Schulerud H, Kristensen GB, Liestol K, et al.
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LECT NOTES COMPUT SC 1451: 555-563 1998
581. Kudo M, Sklansky J
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582. Tenmoto H, Kudo M, Shimbo M
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583. P Scheunders, S Livens, G Van de Wouwer, P Vautrot
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585. Jelonek J, Stefanowski J
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586. Jain AK, Zongker D
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587. J Handl, J Knowles
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588. Yadollahi, A., Moussavi, Z.
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591. G Lee, V Bulitko
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592. Xie J, Qiu Z, Wu J
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593. Křížek P, Kittler J, Hlaváč V
Title: Feature selection based on the training set manipulation
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594. J Li, J Yao, RM Summers, A Hara
An Efficient Feature Selection Algorithm for Computer-Aided Polyp Detection
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596. M Sasikala, N Kumaravel
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597. HGD Stratigopoulos, Y Makris
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598. G Lee, V Bulitko
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599. S Whiteson, P Stone, KO Stanley, R Miikkulainen, N …
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600. H Ketabdar, J Richiardi, A Drygajlo
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601. B Schuller, R Müller, M Lang, G Rigoll
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602. X Song, G Fan
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603. Mohan N, Kasabov N
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605. B Schuller, RJ Villar, G Rigoll, M Lang
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606. X Song, G Fan
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607. P Zhang, TD Bui, CY Suen
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609. Y Zhao, L Zhang, P Li
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610. J Richiardi, H Ketabdar, A Drygajlo
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611. M Ng, L Chan
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612. A Al-Ani
Ant Colony Optimization for Feature Subset Selection
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614. K Aoki, T Watanabe, M Kudo
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615. M Bensch, M Schroder, M Bogdan, W Rosenstiel
Feature Selection for High-Dimensional Industrial Data
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616. EF Badjio, F Poulet
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617. M Pavlou
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618. A Schlapbach, V Kilchherr, H Bunke
Improving Writer Identification by Means of Feature Selection and Extraction
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619. WL Lu, S Yang
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620. Oduntan IO
A Multilevel Search Algorithm for Feature Selection in Biomedical Data
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621. J Hao
Input selection using mutual information-Applications to time series prediction
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622. Kuncheva LI, Whitaker CJ, Cockcroft PD, Hoare ZSJ
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623. N Maillot, M Thonnat, C Hudelot
Ontology based object learning and recognition: application to image retrieval
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624. G Lee, V Bulitko, I Levner
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625. ZY Niu, DH Ji, CL Tan
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626. SB Kotsiantis, PE Pintelas
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627. Mutanga
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628. Zheng-Yu Niu , Dong-Hong Ji , Chew-Lim Tan
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629. Gunter S, Bunke H
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630. X Tao, H Renmu, W Peng, X Dongjie
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631. S Nakariyakul, D Casasent
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632. G Van de Wouver, B Weyn, D Van Dyck
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633. C Spence, P Sajda
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634. S Gunter
Multiple Classifier Systems in Offline Cursive Handwriting Recognition
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635. V Popovici
KERNEL–BASED CLASSIFIERS WITH APPLICATIONS TO FACE DETECTION
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636. E Yom-Tov
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Title: A wrapper-based approach to image segmentation and classification
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638. Kuzmenko A and Zagoruyko N
Title: Structure relaxation method for self-organizing neural networks
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640. Ai J, Liu D, and Zhu X
Title: Combination of wavelet analysis and color applied to automatic color grading of ceramic tiles
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641. Rodrígez-Damián MR, Cernadas E, Formella A, Sá-Otero P
Title: Pollen classification using brightness-based and shape-based descriptors
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642. Xuan J, Dong Y, Khan J, Hoffman E, Clarke R, Wang Y
Title: Robust feature selection by weighted Fisher criterion for multiclass prediction in gene
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643. Markou M, Singh S
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644. Singh S, M, Markou M
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645. Jan Sochman J Matas
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652. T Bogers
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667. Pernkopf, F., O'Leary, P.
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668. Guo, G., Dyer, C.R.
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669. D Toth, A Condurache, T Aach
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691. Campos TE., Bloch I, R.M.Cesar
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694. Smits, P.C.
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695. Radevski, V., Bennani, Y., Cakmakov, D.
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696. Koltunov, A., Ben-Dor, E.
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778. Li SZ, Zhang ZQ
FloatBoost learning and statistical face detection
IEEE T PATTERN ANALYSIS AND MACHINE INTELLIGENCE 26 (9): 1112-1123 SEP 2004
779. Schulerud H, Albregtsen F
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COMPUT METH PROG BIO 73 (2): 91-99 FEB 2004
780. Miteran J, Bouillant S, Bourennane E
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LECT NOTES ARTIF INT 2734: 141-155 2003
781. Miteran J, Bouillant S, Bourennane E
SVM approximation for real-time image segmetation by using an improved hyperrectangles-based
method
REAL-TIME IMAGING 9 (3): 179-188 JUN 2003
782. Maran U, Sild S
QSAR modeling of genotoxicity on non-congeneric sets of organic compouds
ARTIF INTELL REV 20 (1-2): 13-38 OCT 2003
783. Somorjai RL, Dolenko B, Baumgartner R
Class prediction and discovery using gene microarray and proteomics mass spektroskopy data:
curses, caveats, cautions
BIOINFORMATICS 19 (12): 1484-1491 AUG 12 2003
784. Vandenbroucke N, Macaire L, Postaire JG
Color image segmentation by pixel classification in an adapted hybrid color space. Application to
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COMPUT VIS IMAGE UND 90: (2) 190-216 MAY 2003
785. Reunanen J
Overfitting in making comparisons between variable selection methods
J MACHINE LEARNING RESEARCH 3: (3) 1371-1382 2003
786. Li SZ, Zhu L, Zhang ZQ, et al.
Statistical learningof multi-view face detection
LECT NOTES COMPUT SC 2353: 67-81 2002
787. Sundic T, Marco S, Perera A, et al.
Fuzzy inference system for sensor array calibration: prediction of CO and CH4 levels in variable
humidity conditions.
CHEMOMETR INTELL LAB 64: (2) 103-122 NOV 28 2002
788. Last A, Bunke H, Kandel A
A feature-based seriál approach to classifier combination
PATTERN ANAL APPL 5 (4): 385-398 2002
789. Pernkopf F, O'Leary P
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EURASIP J APPL SIG P 2002: (7) 667-678 JUL 2002
790. Aoki K , Kudo M
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LECT NOTES COMPUT SC 2396, 761-769, 2002
791. Dey, S., Roberts, S.A.
On high dimensional data spaces
MANAGEMENT INFORMATION SYSTEMS 6, pp. 239-250, 2002
792. Perera, A., Sundic, T., Pardo, A., Gutierrez-Osuna, R., Marco, S.
A portable electronic nose based on embedded PC technology and GNU/Linux: Hardware, software
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IEEE SENSORS JOURNAL 2 (3), pp. 235-246, 2002
793. Schmid NA, O‘Sullivan JA
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IEEE T INFORM THEORY 47: (7) 2903-2920 NOV 2001
794. Jain AK, Duin RPW, Mao J.
Statistical Pattern Recognition: A Review
IEEE T PATTERN ANAL. AND MACHINE INTELLIGENCE 22: (1) 4 - 37 JAN 2000
795. LE Peterson, MA Coleman
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796. LE Peterson, MA Coleman
Logistic Ensembles for Random Spherical Linear Oracles
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APPLICATIONS, PROCEEDINGS Pages: 618-623 Published: 2007
797. U Maran, S Siid
QSAR Modeling of Mutagenicity on Non-Congeneric Sets of Organic Compounds
Artificial Intelligence Methods and Tools for Systems …, 2005 - books.google.com
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798. Kittler J
A Framework for Classifier Fusion: Is It Still Needed?
LECT NOTES COMPUT SC 1876, 45-56, 2000
799. Hargrove, L., Scheme, E., Englehart, K., Hudgins, B.
Principal components analysis preprocessing to reduce controller delays in pattern recognition based
myoelectric control
29th Annual International Conference of IEEE-EMBS, Engineering in Medicine and Biology
Society, EMBC'07, art. no. 4353851, pp. 6511-6514, 2007
800. BQ Huang, MT Kechadi
A Fast Feature Selection Model for Online Handwriting Symbol Recognition
Machine Learning and Applications, 2006. ICMLA'06. 5th …, 2006
801. Yu, Y., Huang, H., Ruan Jian, Xue Bao
Ensemble approach to intrusion detection based on improved multi-objective genetic algorithm
JOURNAL OF SOFTWARE 18 (6), pp. 1369-1378, 2007
802. Li, ZQ Zhang, L Zhu
Method for boosting the performance of machine-learning classifiers - US Patent 7,099,505, 2006
803. Guratzsch, R.F., Mahadevan, S.
Health monitoring sensor placement optimization under uncertainty
11th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference 3, pp. 1503-1511, 2006
804. Reunanen, J.
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Studies in Fuzziness and Soft Computing 207, pp. 119-136, 2006
805. A Schlapbach, V Kilchherr, H Bunke
Improving Writer Identification by Means of Feature Selection and Extraction
Proceedings of the International Conference on Document Analysis and Recognition, ICDAR 2005,
art. no. 1575524, pp. 131-135, 2005 - doi.ieeecomputersociety.org
806. DeSimio, M., Olson, S., Derriso, M.
Decision uncertainty in a structural health monitoring system
Proceedings of SPIE - The International Society for Optical Engineering 5764, pp. 530-541, 2005
807. Sun, Y. Babbs, C.F. Delp, E.J.
A Comparison of Feature Selection Methods for the Detection of Breast Cancers in Mammograms:
Adaptive sequential floating search vs. genetic algorithm
27th Annual International Conference of the Engineering in Medicine and Biology Society 2005.
IEEE-EMBS 2005, art. no. 1615996, pp. 6532-6535, 2005
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808. M Harringer
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809. A Ross, R Govindarajan
Feature Level Fusion Using Hand and Face Biometrics
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810. GV Veres, MS Nixon, L Middleton, JN Carter
Fusion of dynamic and static features for gait recognition over time
7th International Conference on Information Fusion (FUSION), 2005 - ieeexplore.ieee.org
811. Markou M and Singh S
Title: Feature selection based on a black hole model of data reorganization
Source: Proc. of the 17th Int. Conference on Pattern Recognition 4, Cambridge, UK, 23-26 August
2004 , pp. 565-568, 2004
812. Farmer ME., Bapna S, and Jain AK
Title: Large scale feature selection using modified random mutation hill climbing
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813. Y Sun, C Babbs, EJ Delp
Full-field mammogram analysis based on the identification of normal regions
IEEE International Conf on Biomedical Imaging: Macro to Nano, 2004, pp. 112-122, 2004 ieeexplore.ieee.org
814. Singh, S., Singh, M., Markou, M.
Title: Feature selection for face recognition based on data partitioning
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815. A Andreopoulos
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816. Shanmugasundaram, K., Kharrazi, M., Memon, N.
Nabs: a system for detecting resource abuses via characterization of flow content type
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817. T Bogers
Dutch Named Entity Recognition: Optimizing Features, Algorithms, and Output
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818. Y He
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819. SZ Li, L Zhu, ZQ Zhang, A Blake, HJ Zhang, H Shum
Statistical Learning of Multi-View Face Detection
Proc. ECCV, 2002 - cs.cmu.edu
820. SZ Li, L Zhu, ZQ Zhang, HJ Zhang
Learning to detect multi-view faces in real-time
Proceedings of the 2nd Int Conf on Development and Learning, 2002 - ieeexplore.ieee.org
821. ZQ Zhang, MJ Li, SZ Li, HJ Zhang
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Applications of Computer Vision, 2002.(WACV 2002) - ieeexplore.ieee.org
822. Bouillant, S., Mitéran, J., Bourennane, E., Paindavoine, M.
Real-time flaw detection on complex Part: Study of SVM and hyperrectangle based method
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823. J Ashimine, TE De Campos, RM Cesar Jr, I Bloch
Person recognition through eigeneye selection based on fuzzy distance to multiple class prototypes
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824. L Portinale, L Saitta
Feature Selection
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825. Campos T.E., Bloch I., and R.M.Cesar Jr. M.R.
Feature Selection based on Fuzzy Distances between Clusters: First Results on Simulated Data
Advances in Pattern Recognition, Proceedings of the Second International Conference, Rio de
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826. Van Ginneken, B., Frangi, A.F., Staal, J.J., Ter Haar Romeny, B.M., Viergever, M.A.
A non-linear gray-level appearance model improves active shape model segmentation
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827. Freudenthal, E., Lavely, E., Pierson, W., Argyle, M., Fishman, J.
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828. TE de Campos
Tecnicas de seleçao de caracterısticas com aplicaçoes em reconhecimento de faces
Disertation Thesis 2001 - robots.ox.ac.uk
829. M Clef
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830. J Mitéran, S Bouillant, M Paindavoine, E …
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831. LPDW Wahlster, H Schultheis
Verfahren zur Interpretation Physiologischer Daten zur Online-Erkennung Kognitiver und Affektiver
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832. FM Schleif
Momentbasierte Methoden zur Schriftzeichenerkennung
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833. J Ashimine, A de Concentracao, C da Computacao
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DIVERGENCE BASED FEATURE SELECTION FOR MULTIMODAL CLASS DENSITIES
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838. Ahmed, S., Iftekharuddin, K.M., Ogg, R.J., Laningham, F.H.
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839. R Lewis, J Kalita, S Sarmah, D Bhattacharyya
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841. N Bouguila, K Daoudi
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845. Wang, Y., Miller, D.J., Clarke, R.
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846. Chakraborty D, Pal NR
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847. Silva J
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848. Toygarlar TO
Feature Selection and Extraction: a Video Retrieval Perspective
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849. D Gelbart
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850. Song XM, Fan GL
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IEEE TRANSACTIONS ON IMAGE PROCESSING 16 (12): 3035-3046 DEC 2007
851. S Boutemedjet, D Ziou, N Bouguila
A Graphical Model for Content Based Image Suggestion and Feature Selection
LECTURE NOTES IN COMPUTER SCIENCE, 4702, pp. 30–41, 2007
852. EFV Santacruz, D Chakraborty - delta.cs.cinvestav.mx
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853. Chen YX, Bi JB, Wang JZ
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854. Abe N, Kudo M, Toyama J, et al.
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PATTERN ANALYSIS AND APPLICATIONS 9 (2-3): 127-137 OCT 2006
855. Lozano M, Sotoca JM, Sanchez JS, et al
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PATTERN RECOGNITION 39 (10): 1827-1838 OCT 2006
856. Song XM, Fan GL
Joint key-frame extraction and object segmentation for content-based video analysis
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY 16 (7):
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857. Graham MW, Miller DJ
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IEEE TRANSACTIONS ON SIGNAL PROCESSING 54 (4): 1289-1303 APR 2006
858. Abe N, Kudo M
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PATTERN RECOGNITION 39 (5): 737-746 MAY 2006
859. Abe N, Kudo M
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LECTURE NOTES IN ARTIFICIAL INTELLIGENCE 3684: 689-695 2005
860. Coetzee FM
Correcting the Kullback-Leibler distance for feature selection
PATTERN RECOGNITION LETTERS 26 (11): 1675-1683 AUG 2005
861. Law MHC, Figueiredo MAT, Jain AK
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863. Abe N, Kudo M,Shimbo M
Classifier –independent feature selection based on non-parametric discriminant analysis
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864. Grim J, Kittler J, et al.
Multiple classifier fusion in probabilistic neural networks
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865. NA Schmid, JA O’Sullivan
Thresholding Method for Dimensionality Reduction in Recognition Systems
IEEE TRANSACTIONS ON INFORMATION THEORY 47 (7): 2903-2920, NOVEMBER 2001ieeexplore.ieee.org
866. VSN Prasad, AG Faheema, S Rakshit
Feature Selection in Example-Based Image Retrieval Systems
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867. MS Lew
LEARNING VISUAL CONCEPTS FOR CONTENT BASED RETRIEVAL
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868. MTL Albalate
Data Reduction Techniques in Classification Processes
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869. Chakraborty D
Unidad Zacatenco Departamento de Computacion
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870. Bruzzone L, Serpico SB
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A Divergence Criterion for Classifier-Independent Feature Selection
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872. Kudo M., Sklansky J.
Classifier Independent Feature Selection for Two-Stage Feature Selection.
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873. Moss S, Hancock ER.
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874. Leite JAF, Hancock ER
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875. Finch AM, Wilson RC, Hancock ER
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876. K List
A Review of Machine Learning Techniques for Processing Multimedia Content
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877. Graham MW
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878. X Song, G Fan
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882. Jaimes A, Chang SFU
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883. Libal V.
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887. Kudo M., Tenmoto H., Sumiyoshi S., Shimbo M.
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FEATURE-SELECTION BASED ON THE APPROXIMATION OF CLASS DENSITIES BY
FINITE
MIXTURES OF SPECIAL TYPE
PUDIL P, NOVOVICOVA J, CHOAKJARERNWANIT N, KITTLER J
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891. Bouguila N
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892. Huang PW, Lee CH
Automatic Classification for Pathological Prostate Images Based on Fractal Analysis
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Robust mixture modelling using multivariate t-distribution with missing information
PATTERN RECOGNITION LETTERS Volume: 25 Issue: 6 Pages: 701-710 Published: APR
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903. Bacauskiene, M., Verikas, A.
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Automatic determination of size for feature selection
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912. Baik, S.W., Bala, J.
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917. Grim J, Haindl M
Title: A Monospectral Probabilistic Discrete Mixture Texture Model.
Source: Research Report No. 2018. ÚTIA AV ČR, Praha 2001, 18 p.
918. Libal V.
Title: Road Signs Recognition System.
Source: Disertation Thesis, Faculty of El. Eng.CTU, Prague, 2000
919. Paclík P.
Title: The Automatical Classification of Road Signs
Source: Master Thesis, Faculty of Transportation Sciences CTU, Prague, 1998
CITATION:
APPLICATION OF MULTINOMIAL MIXTURE MODEL TO TEXT CLASSIFICATION
NOVOVICOVA J, MALIK A
PATTERN RECOGNITION AND IMAGE ANALYSIS, PROCEEDINGS
LECTURE NOTES IN COMPUTER SCIENCE 2652: 646-653 2003
Times Cited: 11 (5A + 6B)
920. Pinto, D., Civera, J., Barrón-Cedeño, A., Juan, A., Rosso, P.
A statistical approach to crosslingual natural language tasks
JOURNAL OF ALGORITHMS 64 (1), pp. 51-60, 2009
921. Prinzie A, Van den Poel D
Random forests for multiclass classification: Random MultiNomial Logit
EXPERT SYSTEMS WITH APPLICATIONS Volume: 34 Issue: 3 Pages: 17211732 Published: APR 2008
922. V Alabau, J Andres, F Casacuberta, J Civera, …
The naive Bayes model, generalisations and applications
dsic.upv.es, 2007
923.Seprico SB, Moser G.
Extraction of spectral channels from hyperspectral images for classification purposes
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING Volume: 45 Issue:
2 Pages: 484-495 Published: FEB 2007
924. R Shi, CH Lee, TS Chua
Enhancing image annotation by integrating concept ontology and text-based bayesian learning model
Proceedings of the 15th international conference on on Multimedia, 341 – 344, Germany, 2007
925. J.Mohammad, Alkin Mohamed
TEXT MINING:A BURGEONING QUALITY IMPROVEMENT TOOL ABQI TOOL
58
Ph.D.Thesis, 2007 - iam.metu.edu.tr
926. Navas E, Hernaez I, L
An objective and subjective study of the role of semantics and prosodic features in building corpora
for emotional TTS
IEEE TRANSACTIONS ON AUDIO SPEECH AND LANGUAGE PROCESSING Volume:
14 Issue: 4 Pages: 1117-1127 Published: JUL 2006
927. Shi R, Chua TS, Lee CH, et al.
Bayesian learning of hierarchical multinomial mixture models of concepts for automatic image
annotation
LECTURE NOTES IN COMPUTER SCIENCE 4071: 102-112 2006
928. Bacauskiene M, Verikas A
Selecting salient features for classification based on neural network committees
PATTERN RECOGNITION LETTERS Volume: 25 Issue: 16 Pages: 1879-1891 Published:
DEC 2004
929. J Civera, A Juan
Bilingual Machine-Aided Indexing
Language - cs.brandeis.edu
930. J Civera, A Juan
Multinomial Mixture Modelling for Bilingual Text Classification
- 2005 - prhlt.iti.es
CITATION:
FEATURE SELECTION USING IMPROVED MUTUAL INFORMATION FOR TEXT
CATEGORIZATION
NOVOVICOVA J, MALIK A, PUDIL P
LECTURE NOTES IN COMPUTER SCIENCE 3138: 1010-1017, 2004
Times Cited: 9 (1A+8B)
931. Cunningham, P.
Dimension reduction
LECTURE NOTES in Applied and Computational Mechanics, pp. 91-112, 2008
932. D Ji, H Zhao, D Cai
Using the Multi-level Classification Method in the Patent Mining Task at NTCIR-7
Proceedings of NTCIR-7 Workshop Meeting, December 16–19, 2008, Tokyo, Japan, pp: 362-36
933. SN Saleh, Y El-Sonbaty
A feature selection algorithm with redundancy reduction for text classification
Computer and Information Sciences, 2007. ISCIS 2007, pp 1-6, 2007
934. P Cunningham, SJ Delany
k-NearestNeighbour Classifiers
Technical Report UCD-CSI-2007-4 - csiweb.ucd.ie
935. P Cunningham
Dimension Reduction
Technical Report UCD-CSI-2007-7 - csiweb.ucd.ie
936. Auffarth BJ
Feature Selection in Classification of Biomedical High-Resolution
Micro-CT Images - 2007 – MSc Thesis -maia.ub.es
937. S Kotsiantis, E Athanasopoulou, P Pintelas
Logitboost of Multinomial Bayesian Classifier for Text Classification
INTERNATIONAL REVIEW ON COMPUTERS AND SOFTWARE (I. RE. CO. S … math.upatras.gr) Vol. 1, No. 3, 2006
938. RA El-Khoribi, MA Ismael, E Giza
An Intelligent System Based on Statistical Learning For Searching in Arabic Text
AIML Journal, Volume (6), Issue (3), pp 41-47, September, 2006
939. Ikonomakis M, Kotsiantis S,Tampakas V
Text Classification Using Machine Learning Techniques
WSEAS TRANS ON COMPUTERS, 4(8): 966-974 AUG 2005
CITATION:
59
INFORMATION-THEORETIC FEATURE SELECTION ALGORITHMS FOR TEXT CLASSIFICATION
NOVOVICOVA J, MALIK A
INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS, PROCEEDINGS
MONTREAL, CANADA, AUGUST 4, 2005
3272-3277, 2005
Times Cited: 5 (2A+3B)
940. Mengle SSR, Goharian N
Ambiguity Measure Feature-Selection Algorithm
JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND
TECHNOLOGY Volume: 60 Issue: 5 Pages: 1037-1050 Published: MAY 2009
941. SSR Mengle, N Goharian
Using ambiguity measure feature selection algorithm for support vector machine classifier
Proceedings of the 2008 ACM symposium on Applied computing, 2008
942. SN Saleh, Y El-Sonbaty
A feature selection algorithm with redundancy reduction for text classification
Computer and Information Sciences, 2007. ISCIS 2007. 22nd …, 2007 - ieeexplore.ieee.org
943. J.Mohammad, Alkin Mohamed
TEXT MINING:A BURGEONING QUALITY IMPROVEMENT TOOL ABQI TOOL
Ph.D.Thesis, 2007 - iam.metu.edu.tr
944. K List
Progress on Dimension Reduction Techniques
mee.tcd.ie, 2005
CITATION:
TEXT DOCUMENT CLASSIFICATION USING FINITE MIXTURES
NOVOVICOVA J, MALIK A
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Pages 35, 2002
Times Cited: 2 (1A+1B)
945. C Pérez-Sancho, JM Iñesta, J Calera-Rubio
Style recognition through statistical event models
JOURNAL OF NEW MUSIC RESEARCH, 2005 - ingentaconnect.com
946. C Pérez-Sancho, JM Iñesta, J Calera-Rubio
A Text Categorization Approach for Music Style Recognition
LECT NOTES COMPUT SC 3523, 703-733, 2005
CITATION:
CONDITIONAL MUTUAL INFORMATION BASED FEATURE SELECTION FOR
CLASSIFICATION TASK
NOVOVICOVA J, SOMOL P, HAINDL M, PUDIL P
LECTURE NOTES IN COMPUTER SCIENCE 4756: 417-426, 2007
Times Cited: 2 (2A)
947. Baheti PK, Neifeld MA
Recognition using information-optimal adaptive feature-specific imaging
Source: JOURNAL OF THE OPTICAL SOCIETY OF AMERICA A-OPTICS IMAGE
SCIENCE AND VISION Volume: 26 Issue: 4 Pages: 1055-1070 Published: APR 2009
948. H Liu, L Liu, H Zhang
Feature Selection Using Mutual Information: An Experimental Study
LECT NOTES COMPUT SC 5351, 235-246, 2008
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CITATION:
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PUDIL P, NOVOVICOVA J, SOMOL P
PATTERN RECOGNITION LETTERS
23 (4): 487-492 FEB 2002
Times Cited: 8A
949. Liu, X., Ma, L., Zhang, S., Mathew, J.
Feature group optimisation for machinery fault diagnosis based on fuzzy measures
Australian Journal of Mechanical Engineering 5 (2), pp. 191-197, 2008
950. Cristescu, R.
Cardinality-constrained feature selection for classification
IEEE International Symposium on Information Theory - Proceedings, art. no. 4595366, pp.
2131-2135, 2008
951. Verikas A, Bacauskiene M, Valincius D, et al.
Predictor output sensitivity and feature similarity-based feature selection
FUZZY SETS AND SYSTEMS Volume: 159 Issue: 4 Pages: 422-434 Published: FEB 16
2008
952. Chang YC, Lai PC, Lee MT
An integrated approach for operational knowledge acquisition of refuse incinerators
EXPERT SYSTEMS WITH APPLICATIONS 33 (2): 413-419 AUG 2007
953. Serpico SB, Moser G
Extraction of spectral channels from hyperspectral images for classification purposes
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING 45 (2): 484-495 FEB 2007
954. Navas E, Hernaez I, Luengo I
An objective and subjective study of the role of semantics and prosodic features in building corpora
for emotional TTS
IEEE TRANSACTIONS ON AUDIO SPEECH AND LANGUAGE PROCESSING Volume:
14 Issue: 4 Pages: 1117-1127 Published: JUL 2006
955. Wu, K., Wang, Y., Pan, Y., Zhang, J., Qian, B., Chang, C.
Classifying uterine myoma and adenomyosis based on ultrasound image fractal and texture
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Annual International Conference of the IEEE Engineering in Medicine and Biology Proceedings 7
VOLS, art. no. 1616795, pp. 1790-1793, 2005
956. Bacauskiene M, Verikas A
Selecting salient features for classification based on neural network committees
PATTERN RECOGNITION LETTERS 25 (16): 1879-1891 DEC 2004
CITATION:
MULTISTAGE PATTERN RECOGNITION WITH REJECT OPTION.
PUDIL P., NOVOVICOVA J., BLAHA S., KITTLER J.
PROCEEDINGS OF THE 11TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION
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957. GL Marcialis, F Roli, L Didaci
Personal identity verification by serial fusion of fingerprint and face matchers
PATTERN RECOGNITION 2009
958. L Allano, S Garcia-Salicetti, B Dorizzi
A Low Cost Incremental Biometric Fusion Strategy for a Handheld Device
LECT NOTES COMPUT SC 5342, pp. 842–851, 2008
959. GL Marcialis, F Roli
Serial Fusion of Fingerprint and Face Matchers
LECT NOTES COMPUT SC 4472, 151-7160, 2007
960. R Huber, H Ramoser, K Mayer, H Penz, M Rubik
Classification of coins using an eigenspace approach
PATTERN RECOGNITION LETTERS 25, 2005 - portal.acm.org
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961. Z Sun, Y Wang, T Tan, J Cui
Improving iris recognition accuracy via cascaded classifiers
IEEE TRANSACTIONS ON SYSTEMS, MAN, AND CYBERNETICS—PART C:
APPLICATIONS AND REVIEWS, 35: (3), 435 AUGUST 2005 - ieeexplore.ieee.org
962. Z Sun, Y Wang, T Tan, J Cui
Improving iris recognition accuracy via cascaded classifiers
IEEE TRANSACTIONS ON SYSTEMS, MAN, AND CYBERNETICS—PART C:
APPLICATIONS AND REVIEWS, 35: (3), 435 AUGUST 2005 - ieeexplore.ieee.org
963. R Singh, S Samal, T Lahiri
A Novel Strategy for Designing Efficient Multiple Classifier
LECT NOTES COMPUT SC 3832, 713-720, 2005
964. Fumera G, Pillai I, Roli F
A two stage classifier with reject option for text categorization
LECT NOTES COMPUT SC 3138, 771-779, 2004
965. M Yelizaveta, C Tat-Seng, J Ramesh
Semi-supervised annotation of brushwork in paintings domain using serial combinations of multiple .
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966. LS Oliveira, AS Britto Jr, R Sabourin
Improving Cascading Classifiers with Particle Swarm Optimization
Proceedings of Eighth Int Conf on Document Analysis and Recognition, 2005 doi.ieeecomputersociety.org
967. DJ Miller, J Browning
A mixture model and EM-based algorithm for class discovery, robust classification, and outlier …
IEEE T PATTERN ANALYSIS AND MACHINE INTELLIGENCE 25 (11): 1468-1483 NOV 2003
968. AFR Rahman, MC Fairhurst
Multiple classifier decision combination strategies for character recognition: A review
IJDAR International Journal of Document Analysis and Recognition 5: 166–194 2003
969. D Ruta, B Gabrys
A theoretical analysis of the limits of majority voting errors for multiple classifier systems
PATTERN ANAL APPL 2002 (5): 333–350
970. N Giusti, F Masulli, A Sperduti
Theoretical and Experimental Analysis of a Two-Stage System for Classification
IEEE T PATTERN ANALYSIS AND MACHINE INTELLIGENCE 24 (7): 893-904 JULY 2002
971. C Sansone, F Tortorella, M Vento
A classification reliability driven reject rule for multi-expert systems
IJPRAI International Journal of Pattern Recognition and Artificial Intelligence 15 July 2001
972. Falimo GLU, E Alpaydin
Combining Multiple Representations for Pen-based Handwritten Digit Recognition
TURK J ELEC ENGIN 9: (1) 2001
973. Egmont-Petersen M, Dassen WRM, Reiber JHC
Sequential selection of discrete features for neural networks - A Bayesian approach to building
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PATTERN RECOGN LETT 20: (11-13) 1439-1448 NOV 1999
974. Rahman AFR, Fairhurst MC
Serial combination of multiple experts: A unified evaluation
PATTERN ANAL APPL 2: (4) 292-311 1999
975. Alpaydin E., Kaynak C.
Cascading Classifiers
KYBERNETIKA 34: (4) 369-374 1998
976. Lienhar R, Maydt J
An Extended Set of Haar-like Features for Rapid Object Detection
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977. LS Oliveira, AS Britto Jr, R Sabourin
Optimizing class-related thresholds with particle swarm optimization
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978. C Thiel
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980. C Kaynak, E Alpaydin
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Title: Cascading Classifiers
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983. Alpaydin E
Learning A Rule and Exceptions
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AN ANALYSIS OF THE MAX-MIN APPROACH TO FEATURE-SELECTION AND ORDERING
PUDIL P, NOVOVICOVA J, CHOAKJARERNWANIT N, KITTLER J
PATTERN RECOGNITION LETTERS
14: (11) 841-847 NOV 1993
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984. Ding, Y.-W.
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TECHNICAL ACOUSTICS Volume 23, Issue 4, Pages 253-257, December 2004
985. D Korycinski, MM Crawford, J Barnes
Adaptive feature selection for hyperspectral data analysis
IMAGE AND SIGNAL PROCESSING FOR REMOTE SENSING IX Book Series:
PROCEEDINGS OF THE SOCIETY OF PHOTO-OPTICAL INSTRUMENTATION
ENGINEERS (SPIE) Volume: 5238 Pages: 213-225 Published: 2004
986. Serpico SB, Bruzzone L
A new search algorithm for feature selection in hyperspectral remote sensing images
EEE T GEOSCI REMOTE 39: (7) 1360-1367 JUL 2001
987. Pan JS, Wang JW
Texture segmentation using separable and non-separable wavelet frames
IEICE T FUND ELECTR E82A: (8) 1463-1474 AUG 1999
988. Shapira Y, Gath I
Feature selection for multiple binary classification problems
PATTERN RECOGN LETT 20: (8) 823-832 AUG 1999
989. Wang JW, Chen CH, Chien WM, et al.
Texture classification using non-separable two-dimensional wavelets
PATTERN RECOGN LETT 19: (13) 1225-1234 NOV 1998
990. Wang JW, Chen CH, Pan JS
Genetic feature selection for texture classification using 2-d non-separable wavelet bases
IEICE T FUND ELECTR E81A: (8) 1635-1644 AUG 1998
991. Tistarelli M, Grosso E
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PATTERN RECOGN LETT 18: (9) 933-946 SEP 1997
992. Tistarelli M
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IMAGE VISION COMPUT 13: (3) 215-226 APR 1995
993. Křížek P, Kittler J, Hlaváč V
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PUDIL P., FERRI F.J., NOVOVICOVA J., KITTLER J.
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LANGUAGE PROCESSING, VOLS 1-5 Pages: 189-192 Published: 2006
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996. Sivakumar A, Kannan K
A novel feature selection technique for number classification problem using PNN-A plausible scheme
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SENSORS AND ACTUATORS B-CHEMICAL Volume: 139 Issue: 2 Pages: 280286 Published: JUN 4 2009
997. Yusta SC
Different metaheuristic strategies to solve the feature selection problem
PATTERN RECOGNITION LETTERS Volume: 30 Issue: 5 Pages: 525-534 Published: APR
1 2009
998. Escalera S, Pujol O, Mauri J, et al.
Intravascular Ultrasound Tissue Characterization with Sub-class Error-Correcting Output Codes
JOURNAL OF SIGNAL PROCESSING SYSTEMS FOR SIGNAL IMAGE AND VIDEO
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999. Baro X, Escalera S, Vitria J, et al.
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Pattern Recognition, JUL 18-20, 2007 Leipzig, GERMANY
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ICINCO 2006: PROCEEDINGS OF THE THIRD INTERNATIONAL CONFERENCE ON
INFORMATICS IN CONTROL, AUTOMATION AND ROBOTICS - INTELLIGENT
CONTROL SYSTEMS AND OPTIMIZATION Pages: 40-46 Published: 2006
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RECOGNITION, VOL 4 Book Series: INTERNATIONAL CONFERENCE ON PATTERN
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Puebla, MEXICO
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