(Class Lecture Notes)
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==Class Lecture Notes==
 
==Class Lecture Notes==
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* [[Lecture 1 - Introduction_OldKiwi]]
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* [[Lecture 2 - Decision Hypersurfaces_OldKiwi]]
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* [[Lecture 3 - Bayes classification_OldKiwi]]
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* [[Lecture 4 - Bayes Classfication_OldKiwi]]
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* [[Lecture 5 - Discriminant Functions_OldKiwi]]
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* [[Lecture 6 - Discriminant Functions_OldKiwi]]
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* [[Lecture 7 - MLE and BPE_OldKiwi]]
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* [[Lecture 8 - MLE, BPE and Linear Discriminant Functions_OldKiwi]]
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* [[Lecture 9 - Linear Discriminant Functions_OldKiwi]]
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* [[Lecture 10 - Batch Perceptron and Fisher Linear Discriminant_OldKiwi]]
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* [[Lecture 11 - Fischer's Linear Discriminant again_OldKiwi]]
  
 
==Course Topics==
 
==Course Topics==

Revision as of 23:10, 2 March 2008

INTRODUCTION

This is the page for the course ECE662: Pattern Recognition and Decision Making processes.

General Course Information

  • Instructor: Mimi Boutin
  • Office: MSEE342
  • Email: mboutin at purdue dot edu
  • Class meets Tu,Th 9-10:15am in ME118
  • Office hours: Monday, Thursday 4-5pm

Course Website

Course Webpage

Current Kiwi

WebCT

Class Lecture Notes

Course Topics

Homework

Forum

Tools

Glossary_OldKiwi

Reference

Textbooks

Alumni Liaison

Ph.D. on Applied Mathematics in Aug 2007. Involved on applications of image super-resolution to electron microscopy

Francisco Blanco-Silva