# Teaching materials for Statistical Pattern Recognition

## Details of the content

1. ### General

• `Andrew Webb`
• ```A.K.
Jain```
• ```Jim
Rehq```
• ```Dorothea
Blostein```
• ```Jim
Rehq```
• ```Dorothea
Blostein```
• ```Jim
Rehq```
• ```Dorothea
Blostein```

2. ### Specific Methods

1. Distance Metrics
• `Sargur N. Srihari`
• ```Sargur
N. Srihari```
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2. Bayesian Method
• ```Kevin
Murphy ```
• `Kevin Murphy`
• `Amos Storkey`
• ```Tom
Mitchel```
• ```Kevin
Murphy```

3. Sequential Classifiers
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• ```Sargur
N. Srihari```
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4. Discriminating Feature Methods
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• ```Chengjun
Liu```
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5. Fuzzy
• ```Hans
U.F.N. Christensen ```
• ```Hans
U.F.N. Christensen```
• ```Hans
U.F.N. Christensen```
• ```Hans
U.F.N. Christensen```

6. K-Nearest Neighbor
• ```Kardi
Teknomo ```
• ```Philippe
Simard```
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7. Linear and Higer Order Discriminant Functions
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8. Minimum Distance
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9. Multi-classifier fusion
• `Thomas Dietterich `
• `Samy Bengio`
• `Robert Schapire`
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10. Neural Network and Perceptrion Methods
• ``` Ingrid
F. Russel```
• `Genevieve Orr`
• `Andrew Moore`
• ```Amos
Storkey```
• `Tom Mitchel`

11. Markov Random Field
• `Brani Vidakovic`
• ` Kevin Murphy`
• `Charles A. Bouman `
• `Fabio Ramos `
• ` Kevin Murphy`

12. Genetic Algorithm
• `Janne Koljonen `
• `Peter Ross`
• `Gillian Hayes`
• `Darrel Whitley`
• `Gillian Hayes`
13. Nonparametric Estimation
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• `Sargur N. Srihari`
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14. Support Vector Machine
• ` Max Welling`
• `Andrew Moore`
• `Chris Burges`
• `Tom Mitche`

15. Expectation Maximization
• ` Andrew Ng`
• `Tommi Jaakola`
• `Neal and Hinton`
• `Kevin Murphy`