Course No.: ECEM188
Instructor: Shahid M Shah
Credits:
Location: Seminar room, old building ECE department
Pre-requisites: Probability theory (UG level), Linear algebra (UG level), most importantly mathematical maturity.
Syllabus:
Books:
Main book is
Home works
Instructor: Shahid M Shah
Credits:
Location: Seminar room, old building ECE department
Pre-requisites: Probability theory (UG level), Linear algebra (UG level), most importantly mathematical maturity.
Syllabus:
- Motivation and introduction to pattern recognition, Revision of probability theory, revision of some important concepts from Linear algebra.
- Bayes decision theory
- Maximum likelihood estimation and its application to Bayesian estimation
- Non-parametric techniques (K-nearest neighbor, fuzzy classification)
Books:
Main book is
- Pattern Classification, Richard O. Duda, Peter E. Hart, David G. Stork (second edition)
- Pattern recognition by Sergios Theodoridis, Konstantinos Koutroumbas
Home works