| Document Date: 2012-06-12 10:12:20
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City Edinburgh / / Company SH / / Country United Kingdom / Scotland / / Currency pence / / / Event Product Issues / Product Recall / / Facility Columbia University / / IndustryTerm search method / difficult nearest neighbor search / search performance / machine learning algorithms / search difficulty changes / large-scale search systems / heuristic hashing algorithms / search difficulty / search techniques / search / nearest neighbor search methods / approximate nearest neighbor algorithms / computer vision applications / nearest neighbor search / search methods / / Organization U.S. Securities and Exchange Commission / Department of Electrical Engineering / Columbia University / New York / / Person Shih-Fu Chang / Sanjiv Kumar / / Position author / estimate mp / mp / mp and mp / / Product neighbor / gist color recall / MRC LSH PCA SH / gist color / / ProvinceOrState New York / / PublishedMedium Machine Learning / / Technology machine learning algorithms / approximate nearest neighbor algorithms / heuristic hashing algorithms / Machine Learning / / URL www.ee.columbia.edu/~jh2700/sup_DNNS.pdf / /
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On the Difficulty of Nearest Neighbor Search