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Efficient Discriminative Learning of Parts-based Models

Efficient Discriminative Learning of Parts-based Models. Aim: To efficiently learn parts-based models which discriminate between positive and negative poses of the object category. ISVMs run for twice as long. Efficient Reformulation. Results - Sign Language. Exponential in |V|.

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Minimal problem - PowerPoint PPT Presentation

Efficient Discriminative Learning of Parts-based Models