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*[[Fisher_discriminant_under_nonlinear_data|Fisher linear discriminant can be used for non-linearly separable data too!]]
 
*[[Fisher_discriminant_under_nonlinear_data|Fisher linear discriminant can be used for non-linearly separable data too!]]
 
*[[ANN_Simulink_examples_ece662_Sp2010|A jump start on using Simulink to develop a ANN-based classifier]]  
 
*[[ANN_Simulink_examples_ece662_Sp2010|A jump start on using Simulink to develop a ANN-based classifier]]  
 +
*[[KNN-K_Nearest_Neighbor_OldKiwi|The K Nearest Neighbor Algorithm]]
  
 
== Semester/Instructor specific pages ==
 
== Semester/Instructor specific pages ==

Revision as of 07:22, 1 December 2010


ECE 662: Statistical Pattern Recognition and Decision Making Processes

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ECE662 is a course that is cross-linked with CS. It is taught every Spring of even years.

Textbooks

"Introduction to Statistical Pattern Recognition" by K. Fukunaga_OldKiwi

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Main Course Topics

Interesting pages in the ECE662 category

Semester/Instructor specific pages

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Alumni Liaison

Basic linear algebra uncovers and clarifies very important geometry and algebra.

Dr. Paul Garrett