(Class Lecture Notes)
(Class Lecture Notes)
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* [[Lecture 16 - Parzen Window Method and K-nearest Neighbor Density Estimate_OldKiwi]]
 
* [[Lecture 16 - Parzen Window Method and K-nearest Neighbor Density Estimate_OldKiwi]]
 
* [[Lecture 17 - Nearest Neighbors Clarification Rule and Metrics_OldKiwi]]
 
* [[Lecture 17 - Nearest Neighbors Clarification Rule and Metrics_OldKiwi]]
* [[Lecture 18 - Nearest Neighbors Clarification Rule(Alternative)_OldKiwi]]
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* [[Lecture 18 - Nearest Neighbors Clarification Rule and Metrics(Continued)_OldKiwi]]
  
 
==Course Topics==
 
==Course Topics==

Revision as of 11:52, 10 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_OldKiwi

Tools_OldKiwi

Glossary

Reference_OldKiwi

Textbooks

Alumni Liaison

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

Francisco Blanco-Silva