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*[[ECE662_topic2_discussions|Is Bayes truly the best?]] | *[[ECE662_topic2_discussions|Is Bayes truly the best?]] | ||
*[[ECE662_topic3_discussions|Central Limit Theorem illustrations]] | *[[ECE662_topic3_discussions|Central Limit Theorem illustrations]] | ||
| − | *[[ | + | *[[ECE662_hw1_discussions|Hw1: Discuss the first hw here.]] |
==Homework== | ==Homework== | ||
Revision as of 07:00, 11 February 2010
Contents
ECE662: "Satistical Pattern Recognition and Decision Making Processes", Spring 2010
General Course Information
- Instructor: Prof. Boutin a.k.a. Prof. Mimi
- Office: MSEE342
- Email: mboutin at purdue dot you know where
- Class meets Tu,Th 12-13:15 in EE115
- Office hours are listed here
- Syllabus
- Class cancellation: Jan 19, Jan 21, Feb 23, Feb 25
- Make up classes: to be announced. Please list the times when you cannot meet here
Discussions and Students' perspectives
- Introduction and Expectations
- Is Bayes truly the best?
- Central Limit Theorem illustrations
- Hw1: Discuss the first hw here.
Homework
References
- "Introduction to Statistical Pattern Recognition" by K. Fukunaga_OldKiwi (This is the main reference)
- "Pattern Classification" by Duda, Hart, and Stork_OldKiwi
- "Pattern Recognition: A Statistical Approach" by P.A. Devijver and J.V. Kittler_OldKiwi
- "Pattern Recognition and Neural Networks" by Brian Ripley_OldKiwi
- "Introduction to Data Mining" by P-N Tan, M. Steinbach and V. Kumar_OldKiwi
