Course No: 0907542
Course Name: Pattern Recognition

Facebook group: https://www.facebook.com/groups/196796377198206/ 

Department Announcement Page: http://www.facebook.com/pages/Computer-Engineering-Department/369639656466107

Handouts:

• Course Syllabus (pdf)
• Course Introduction (ppt)
• Introduction (ppt)
• Bayes Classifiers (ppt)
• Linear Classifiers (ppt)
• Nonlinear Classifiers (ppt)
• Feature Extraction (pdf)
• Feature Generation (ppt)
• Feature Selection (pptx), (pdf)
• System Evaluation (ppt)
• Template Matching (ppt)
• Context Dependent Classification (ppt)
• Term Project Guidelines (ppt)
• Matlab Pattern Classification (pdf)

Suggested problems:

• Chapter 2: 2.2, 2.7, 2.8, 2.12, 2.31
• Chapter 3: 3.4, 3.6, 3.9 (Some problems require programming)
• Chapter 4: 4.1, 4.3

Important Links:

• Textbook Web Site
• Pattern Classification (2nd ed) by Richard O. Duda, Peter E. Hart and David G. Stork
• Pattern Recognition Course (CSE802) by Dr. Arun Ross
• Machine Learning Course (CS 229) by Dr. Andrew Ng

Solutions:

• Midterm exam (pdf)

Grades sheet: Midterm exam and number of absents as of 7/4/2015 (pdf)

Last update on 8/4/2015, 11:02 am.