Online Demonstrations for Statistical Pattern Recognition

1. General

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 Perceptrion Methods
   11. Markov Random Field
   12. Genetic Algorithm
   13. Nonparametric Estimation
   14. Support Vector Machine
   15. Expectation Maximization
   16. Etc.

1. Applications

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

Details of the content

General

1. Examples: Statistical Pattern Recognition Toolbox Demos Vojtech Franc (Center for Machine Perception, Czech Technical University) 
2. LeNet-5, Demos Yann LeCun 
3. Neural Network Demo The Library of Alexandria 

Specific Methods

1. Distance Metrics
2. Bayesian Method
   
   • The Bayesian Search Game (Marc Toussaint) : A game that serves as an introduction to the idea of Bayesian Search (works in Windows)
   • Belief and Decision Networks (Kevin O'Neill, Shinjiro Sueda, Wesley Coelho, Oxana Chakoula, Nicole Arksey, Kyle Porter, and Byron Knoll)
3. Sequential Classifiers
4. Discriminating Feature Methods
5. Fuzzy
   
   • Fuzzy K-means
6. K-Nearest Neighbor
   
   • KNN (Jerry Zhu)
   • K-means
   • Fuzzy K-means
7. Linear and Higer Order Discriminant Functions
8. Minimum Distance
9. Multi-classifier fusion
   
   • DemoGNG (Version 1.5) (Neuroinformatik at Ruhr Univeristy, Bochum)
10. Neural Network and Perceptrion Methods (See Natural Networks)
    
    • Applets for Neural Networks and Artificial Life Akio Utsugi of National Institute of Advanced Industrial Science and Technology (AIST) 
    • Radial Basis Function Networks (Jesse W. Hong)
    • Convolutional neural networks (Yann LeCun)
    • Neural Network Learning (Kevin O'Neill, Shinjiro Sueda, Wesley Coelho, Oxana Chakoula, Nicole Arksey, Kyle Porter, and Byron Knoll)
    • Hopfield Network Applet (Siripong Malasri)
11. Markov Random Field
    • Face Detection & Recognition (MRF based) (Dr. Michael S. Lew, Dr. Nicu Sebe, Dr. Nies Huijsmans, Roel Hoogenboom)
12. Genetic Algorithm
    • Genetic algorithm (David Eck)
13. Nonparametric Estimation
14. Support Vector Machine
    
    • 2-D 2-class classification with Support Vector Machines (SVM) Tobias Denninger
    • SVM (AT&T Research)
15. Expectation Maximization
    
    • EM algorithm for Mixture models (Shotaro Akaho)
    • Expectation-Maximization algorithm (Center for Machine Perception)
      
16. Etc.

Applications

1. Face Recognition
   
   • Face Detection & Recognition (MRF based) (Dr. Michael S. Lew, Dr. Nicu Sebe, Dr. Nies Huijsmans, Roel Hoogenboom)
   • Face Recognition Demo Page (MIT Media Laboratory, Vision and Modeling Group)
   • Online face detector demo (Pittsburgh Pattern Recognition)
2. Hand-Writting Recognition
   
   • REMUS : On-line word recognition (Computer Science Lab of Universite Paris 6)
3. Other Applications

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© 2008 Robert Fisher