Welcome
CSE4213
(Pattern Recognition)
Class!!
Consultation &
Communication
 Faculty Room of CSE (7A01/F)
 Email: tamanna.cse@aust.edu
Consulting Hour:
Monday: 10.40 pm – 1.15 pm
Wednesday: 9.20 am – 11.55 am
Class code
dguikb7
Recommended
Readings
Text Books:
1. “Pattern Classification”, Wiley 2002 by
R.O.Duda, P.E. Hart & D. Stork (2nd Edition).
2. “Pattern Recognition”, Academic Press 2009 by
S. Theodoridis and K.Koutroumbas (4th Edition).
Marks Distribution
Class Performance:
10
Quizzes:
20
Final Examination:
70
• Classification
• Select the length of the fish as a possible feature for discrimination
x
*
The length is a poor feature alone!
Select the lightness as a possible feature.
• Threshold decision boundary and cost relationship
• Move our decision boundary toward smaller values of lightness in order to minimize
the cost (reduce the number of sea bass that are classified as salmon!)
Task of decision theory
• Adopt the lightness and add the width of the fish
Fish
xT = [x1, x2]
Lightness
Width
still there are some misclassifications
• Adding correlated feature does not improve anything
and is thus redundant
• Too many features may lead to curse of dimensionality
perhaps the best one, but too complex
decision boundary
• satisfaction is premature
• cause: aim of a classifier is to correctly classify unknown
input
Issue of generalization!
A compromise between training and
testing
Reinforcement
Learning!!!!
Don’t be to the folk of ……… 😂
Your expectation from this course?