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Statistical Recognition
Slides adapted from Fei-Fei Li, Rob Fergus, Antonio Torralba, and Kristen Grauman
Object categorization: the statistical viewpoint
• MAP decision: p(zebra|image) vs.
p(no zebra|image)
Object categorization: the statistical viewpoint
• MAP decision: p(zebra|image) vs.
p(no zebra|image)
• Bayes rule:
p(zebra|image) p(image| zebra)p(zebra)
posterior likelihood prior
Object categorization: the statistical viewpoint
p(zebra|image) p(image| zebra)p(zebra)
posterior likelihood prior
• Discriminative methods: model posterior
• Generative methods: model likelihood and prior
Discriminative methods
• Direct modeling of p(zebra|image)
Decision boundary
Zebra
Non-zebra
...
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