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'''[[ECE662]]: Statistical Pattern Recognition and Decision Making Processes'''
 
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Next: [[Lecture_2_-_Decision_Hypersurfaces_OldKiwi|Lecture 2]]
 
Next: [[Lecture_2_-_Decision_Hypersurfaces_OldKiwi|Lecture 2]]
 
[[ECE662:BoutinSpring08_OldKiwi|Back to ECE662 Spring 2008 Prof. Boutin]]
 
[[Category:ECE662]]
 
[[Category:decision theory]]
 
[[Category:lecture notes]]
 
[[Category:pattern recognition]]
 
[[Category:slecture]]
 

Revision as of 10:39, 10 June 2013

Back to ECE662 Spring 2008 Prof. Boutin

ECE662: Statistical Pattern Recognition and Decision Making Processes

Spring 2008, Prof. Boutin

sLecture

Collectively created by the students in the class


Lecture 1 Lecture notes

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This was the first day of class. These notes are from the class lecture.

Links to Course Webpages

Login: Use your Purdue Career Account username and password.

Note: You must change your password once a month.

Kiwi Week

Monday at noon until Monday at noon.

Textbook Information

There is not a single book that covers all the things that will be discussed in ECE 662. The class will reference four books during the course of the semester as we cover various topics. All four of them are available through the reserves at the engineering library.

Definition and Examples of Pattern Recognition

Pattern Recognition is the art of assigning classes or categories to data. Continue reading....

Decision Surfaces

Decision surfaces are the boundaries in the feature space that distinguish classes. Continue reading...

Algebraic Geometry

Continue reading...

Varieties

A Variety is a mathematical construct used to define a decision surface. Continue reading...


Next: Lecture 2

Alumni Liaison

Correspondence Chess Grandmaster and Purdue Alumni

Prof. Dan Fleetwood