Contents
ECE 662: Statistical Pattern Recognition and Decision Making Processes
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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
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Related Courses
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