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Geostatistics / Data analysis / Data mining / Geographical clusters / Geotagging / Support vector machine / Statistics / Cluster analysis / Multivariate statistics


Discovering Latent Clusters from Geotagged Beach Images Yang Wang1 and Liangliang Cao2 1 Department of Computer Science, University of Manitoba, Canada
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Document Date: 2012-11-09 18:39:23


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City

Cambridge / /

Company

Neural Information Processing Systems / MIT Press / L. / Google / IBM / /

Continent

Asia / /

Country

Canada / /

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Facility

University of Manitoba / Stanford University / IBM T.J.Watson Research Center / /

IndustryTerm

community-contributed media collections / iterative training algorithm / photo organization applications / guide web pages / web users / web-scale landmark recognition engine / generic clustering algorithm / possible solution / degenerate solution / approximate solution / post processing / web images / mining / web photos / nearest neighbor search / food / /

Organization

Department of Computer Science / MIT / Stanford University / University of Manitoba / U.S. Securities and Exchange Commission / Pattern Analysis and Machine Intelligence / /

Person

Jim Gray / Yang Wang / Gallagher / Van Gool / /

Position

cao / representative / tour guide / /

ProvinceOrState

Manitoba / /

PublishedMedium

IEEE Transactions on Pattern Analysis and Machine Intelligence / Machine Learning / /

SportsLeague

Stanford University / /

Technology

generic clustering algorithm / eļ¬ƒcient algorithms / GPS / Machine Learning / iterative training algorithm / /

SocialTag