Statistical Pattern Recognition
Sundays and Tusedays from 13:30 am to 15:00pm
Room # 29
2nd Semester 1395-1396 (Jan. 2017)
Instructor: Dr. Mohammad Reza Ahmadzadeh
Room Location: ECE Building - 322
Internal Telephone: Ext. 5370
External Telephone: Iran: +98 (0)31 3391 5370
Fax: Iran: +98 (0)31 3391 2451
Email:
Office Hours:
I will try to be in my office on Saturdays, Mondays and Wednesdays from 8 :00 to 9 :00 am and but I will always do my best to be available for students by appointment or any time that I am free.
Course Description:
This course covers the fundamentals of Pattern Recognition techniques.
Outline:
1- Introduction
2- Bayesian decision theory
3- Maximum likelihood and Bayesian parameter estimation
4- Nonparametric techniques
5- Linear Discriminant Functions
6- Algorithm-independent machine learning
7- Unsupervised Learning and Clustering
Textbook:
2-- Duda, Hart and Stork, Pattern Classification, Second Edition, Wiley, 2001.
The text book has a web site. In particular, you may find the errata list useful.
Slides from the authors of the book.
Optional:
1- Bishop, Christopher M. Pattern Recognition and Machine Learning, 2006
URL: http://research.microsoft.com/~cmbishop/PRML/index.htm
2- Andrew R.Webb • Keith D. Copsey, Statistical Pattern Recognition, 3rd Ed., 2011.
Lecture Notes:
Slides modified by Instructor and lecture notes can be obtained via E-Learning LMS (Enrolled students, Password protected).
Link: http://ivut.iut.ac.ir/