ECE 66200 - Pattern Recognition and Decision Making Processes

Credits: 3

Areas of Specialization(s):

Computer Engineering

Counts as:

Normally Offered: Spring - even years

Catalog Description:
Introduction to the basic concepts and various approaches of pattern recognition and decision making processes. The topics include various classifier designs, evaluation of classifiability, learning machines, feature extraction and modeling.

Required Text(s):
  1. Introduction to Statistical Pattern Recognition, 2nd Edition, K. Fukunaga, Academic Press, 1990, ISBN No. 0-12-269851-7.

Recommended Text(s): None.

Lecture Outline:

Weeks Topic
1 1. Introduction A. Problems in decision making processes B. Mathematical formulation
9 2. Pattern recognition and learning machines A. Review of probability theory and linear algebra (Wk 1) B. Bayes classification (Wk 3) C. Parametric classifier design (Wk 4) D. Nonparametric classifier design (Wks 5, 6) E. Estimation of classifiability (Wks 7, 8) F. Classifier evaluation (Wk 9) G. Learning algorithms (Wk 10)
4 3. Data structure analysis A. Feature extraction for signal representation (Wk 11) B. Feature extraction for classification (Wks 12, 13) C. Clustering (Wk 14) D. Modeling and validity tests