Weakly Supervised Learning of Part-Based Spatial Models for Visual Object Recognition David J. Crandall and Daniel P. Huttenlocher Cornell University, Ithaca, NY 14850, USA, {crandall,dph - Part-based models - Document - PDFSEARCH.IO

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	Weakly Supervised Learning of Part-Based Spatial Models for Visual Object Recognition David J. Crandall and Daniel P. Huttenlocher Cornell University, Ithaca, NY 14850, USA, {crandall,dph}@cs.cornell.edu Add to Reading List Document Date: 2006-02-18 10:40:24 Open Document File Size: 204,39 KB Share Result on Facebook Company clique LC / / / Facility Daniel P. Huttenlocher Cornell University / / IndustryTerm experimental protocol / local search technique / computing / / Organization Cornell University / / Person Daniel P. Huttenlocher / David J. Crandall / / SocialTag Machine learning Artificial intelligence Maximum likelihood Expectation–maximization algorithm Object recognition Supervised learning Markov random field Constellation model One-shot learning Statistics

Weakly Supervised Learning of Part-Based Spatial Models for Visual Object Recognition David J. Crandall and Daniel P. Huttenlocher Cornell University, Ithaca, NY 14850, USA, {crandall,dph}@cs.cornell.eduAdd to Reading List