| Line 12: | Line 12: | ||
* [[Bayesian Decision Theory]] | * [[Bayesian Decision Theory]] | ||
* [[Discriminant Functions]] | * [[Discriminant Functions]] | ||
| + | * [[Fisher Linear Discriminant]] | ||
* [[Bayesian Decision Theory for Normally Distributed Features]] | * [[Bayesian Decision Theory for Normally Distributed Features]] | ||
* [[Feature Extraction]] | * [[Feature Extraction]] | ||
Revision as of 10:13, 13 April 2010
Contents
ECE 662: Statistical Pattern Recognition and Decision Making Processes
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Peer Legacy
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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
Related Courses
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