(Class Lecture Notes)
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* [[Lecture 23 - Spanning Trees_Old Kiwi]]
 
* [[Lecture 23 - Spanning Trees_Old Kiwi]]
 
* [[Lecture 24 - Clustering and Hierarchical Clustering_Old Kiwi]]
 
* [[Lecture 24 - Clustering and Hierarchical Clustering_Old Kiwi]]
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* [[Lecture 25 - Clustering Algorithms_Old Kiwi]]
  
 
==Course Topics==
 
==Course Topics==

Revision as of 06:43, 16 April 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
  • TA hours: Thursday, 11:45 am-12:45 pm , EE 306

Course Website

Course Webpage

Current Kiwi

WebCT

Changelog

Class Lecture Notes

Course Topics

Lots, lots more

Homework

Forum_Old Kiwi

Applications of Pattern Recognition_Old Kiwi

This page can be used to discuss the applications of pattern recognition in our daily research! This would provide us an intuitive understanding of course topics. Please discuss "applied" pattern recognition here. Instead of just mentioning the field, please explain in detail how a specific tool of pattern recognition can be used in research.

Tools_Old Kiwi

Glossary

Reference_Old Kiwi

Textbooks

Alumni Liaison

Ph.D. 2007, working on developing cool imaging technologies for digital cameras, camera phones, and video surveillance cameras.

Buyue Zhang