Line 26: | Line 26: | ||
== Interesting pages in the ECE662 category == | == Interesting pages in the ECE662 category == | ||
− | |||
*[[Parametric_Estimators_OldKiwi|About Parametric Estimators]] | *[[Parametric_Estimators_OldKiwi|About Parametric Estimators]] | ||
Line 33: | Line 32: | ||
*[[ECE662:BoutinSpring08_OldKiwi|Spring 2008, Prof. Boutin]] | *[[ECE662:BoutinSpring08_OldKiwi|Spring 2008, Prof. Boutin]] | ||
− | ==References== | + | ==Other References== |
* [["Pattern Classification" by Duda, Hart, and Stork_OldKiwi]] | * [["Pattern Classification" by Duda, Hart, and Stork_OldKiwi]] | ||
* [["Pattern Recognition: A Statistical Approach" by P.A. Devijver and J.V. Kittler_OldKiwi]] | * [["Pattern Recognition: A Statistical Approach" by P.A. Devijver and J.V. Kittler_OldKiwi]] |
Revision as of 11:13, 13 April 2010
Contents
ECE 662: Statistical Pattern Recognition and Decision Making Processes
Click here to view a list of all pages in the ECE662 category.
Textbooks
"Introduction to Statistical Pattern Recognition" by K. Fukunaga_OldKiwi
Peer Legacy
Share advice with future students regarding ECE662 on this page.
Main Course Topics
- About Pattern Recognition
- Bayesian Decision Theory
- Discriminant Functions
- Fisher Linear Discriminant
- Bayesian Decision Theory for Normally Distributed Features
- Feature Extraction
- Density Estimation
- Linear classifiers
- Artificial Neural Networks
- Support Vector Machines
- Clustering
- Decision Trees
Interesting pages in the ECE662 category
Semester/Instructor specific pages
Other References
- "Pattern Classification" by Duda, Hart, and Stork_OldKiwi
- "Pattern Recognition: A Statistical Approach" by P.A. Devijver and J.V. Kittler_OldKiwi
- "Pattern Recognition and Neural Networks" by Brian Ripley_OldKiwi
- "Introduction to Data Mining" by P-N Tan, M. Steinbach and V. Kumar_OldKiwi
Related Courses
Please help complete this section: which course relates to ECE662?