Topic Introductions for Statistical Pattern Recognition

1. General

   1. Glossary
   2. Overview

2. Specific Methods

   1. Distance Metrics
   2. Bayesian Methods
   3. Sequential Classifiers
   4. Discriminating Feature Methods
   5. Fuzzy
   6. K-Nearest Neighbor
   7. Linear and Higher Order Discriminant Functions
   8. Minimum Distance
   9. Multi-classifier fusion
   10. Neural Network and Perceptron Methods
   11. Markov Random Field
   12. Genetic Algorithm
   13. Nonparametric Estimation
   14. Support Vector Machine
   15. Expectation Maximization
   16. Etc.

3. Applications

   1. Face Recognition
   2. Hand-Writting Recognition
   3. Other Applications

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© 2008 Robert Fisher