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Click [[:Category:ECE662|here]] to view a list of all pages in the [[:Category:ECE662|ECE662 category]]. | Click [[:Category:ECE662|here]] to view a list of all pages in the [[:Category:ECE662|ECE662 category]]. | ||
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| + | This course was previously developed and taught by Professor [https://engineering.purdue.edu/ECE/People/profile?resource_id=3088 Keinosuke Fukunaga]. | ||
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ECE662 is a course that is cross-linked with CS. It is taught every Spring of even years. | ECE662 is a course that is cross-linked with CS. It is taught every Spring of even years. | ||
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==Textbooks== | ==Textbooks== | ||
Revision as of 06:59, 5 January 2012
Contents
ECE 662: Statistical Pattern Recognition and Decision Making Processes (cross-listed ad CS662)
Click here to view a list of all pages in the ECE662 category.
This course was previously developed and taught by Professor Keinosuke Fukunaga.
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
Peer Legacy
Share advice with future students regarding ECE662 on this page.
Main Course Topics
- About Pattern Recognition
- Bayes_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
- Decision Theory Glossary
- About Parametric Estimators
- Bayes rule under severe class imbalance
- Fisher linear discriminant can be used for non-linearly separable data too!
- A jump start on using Simulink to develop a ANN-based classifier
- The K Nearest Neighbor Algorithm
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
