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Learning Hierarchical, Nonparametric Models for Visual Scenes

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Uploaded by on May 1, 2009

Computer vision systems use image features to detect and categorize objects in visual scenes. In this University of Washington program, learn about Erik Sudderth MIT/UC Berkeley research that explores hierarchical models using contextual and geometric relationships for more effective learning from large, partially labeled image databases.

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