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1 Pattern Recognition (from Prof. Bebis)

Pattern Recognition - McGill University

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Page 1: Pattern Recognition - McGill University

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Pattern Recognition (from Prof. Bebis)

Page 2: Pattern Recognition - McGill University

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Bayesian Decision Theory

Page 3: Pattern Recognition - McGill University

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Terminology (using sea bass – salmon classification example)

Page 4: Pattern Recognition - McGill University

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Terminology (cont’d) (using sea bass – salmon classification example)

e.g., lightness distributions between salmon/sea-bass populations

Page 5: Pattern Recognition - McGill University

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Terminology (cont’d) (using sea bass – salmon classification example)

Page 6: Pattern Recognition - McGill University

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Decision Rule Using Priors Only

Page 7: Pattern Recognition - McGill University

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Decision Rule Using Conditional pdf

Page 8: Pattern Recognition - McGill University

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Decision Rule Using Conditional pdf (cont’d)

Page 9: Pattern Recognition - McGill University

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Probability of Error

Page 10: Pattern Recognition - McGill University

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Where do Probabilities Come From?

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Example

Page 12: Pattern Recognition - McGill University

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Example (cont’d)

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Example (cont’d)

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Example (cont’d)