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MULTI-CONCEPT LEARNING WITH LARGE-SCALE MULTIMEDIA LEXICONS Lexing Xie† , Rong Yan† , Jun Yang‡ ∗ † IBM T. J. Watson Research Center, ‡ Carnegie Mellon University
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Document Date: 2011-01-11 00:40:08


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City

Dublin / New York / /

Company

IBM / Springer-Verlag New York Inc. / M Lc / /

Country

United States / Ireland / /

Facility

National Institute of Standards and Technology / the Netherlands Institute / Columbia University / /

IndustryTerm

search-based automatic image classifiers / grid-search strategy / large online repositories / search engines / multimodal search / multi-concept learning algorithms / computing / mean−infAP water car screen / search results / learning algorithms / /

Organization

National Institute of Standards and Technology / Columbia University / U. S. Government / Institute for Sound and Vision / Carnegie Mellon University / U.S. Securities and Exchange Commission / /

Person

Rong Yan / Jun Yang / /

Position

author / de facto user access model for large online repositories / representative / /

ProvinceOrState

New York / /

PublishedMedium

Sound and Vision / /

Technology

MPEG-1 / multi-concept learning algorithms / /

URL

http /

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