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Artificial intelligence / Hash function / Hash table / Locality-sensitive hashing / Graph partition / Eigenvalues and eigenvectors / Linear hashing / Nearest neighbor search / Graph / Search algorithms / Mathematics / Information science


Hashing with Graphs Wei Liu Department of Electrical Engineering, Columbia University, New York, NY 10027, USA Jun Wang
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Document Date: 2011-05-26 13:49:35

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File Size: 276,10 KB

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Company

Intel / /

Country

United States / /

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Event

Product Issues / Product Recall / /

Facility

Columbia University / /

IndustryTerm

higher search accuracy / real-world applications / search performance / high search accuracy / analytical eigenfunction solution / search quality / approximate solution / online hashing requirement / exhaustive linear search / data mining / web images / similarity search / computing / image search / search speed / search procedures / nearest neighbor search / search methods / sub-linear search time / online search scenario / /

Organization

office of Naval Research / National Science Foundation / USA Jun Wang IBM T. J. Watson Research Center / Department of Electrical Engineering / Columbia University / New York / /

Person

Sanjiv Kumar / Train Time / Jun Wang / Wei Liu / Precision / Shih-Fu Chang / Train Time Test Time / /

Position

author / Prime Minister / MP / /

Product

bits / curves / /

ProvinceOrState

New York / /

PublishedMedium

Machine Learning / /

Technology

RAM / two hashing algorithms / data mining / Machine Learning / R. A. An algorithm / LSHbased algorithms / /

URL

http /

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