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College of Liberal Arts and Convergence Science(인문사회융합과학대학)Graduate School of Culture Technology(문화기술대학원)GCT-Conference Papers(학술회의논문)

Multimodal Deep Learning

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dc.contributor.authorNgiam, Jiquan-
dc.contributor.authorKhosla, Aditya-
dc.contributor.authorKim, Mingyu-
dc.contributor.authorNam, Juhan-
dc.contributor.authorLee, Honglak-
dc.contributor.authorNg, Andrew-
dc.date.accessioned2015-05-22T02:04:22Z-
dc.date.available2015-05-22T02:04:22Z-
dc.date.created2015-05-14-
dc.date.issued2011-06-28-
dc.identifier.citationThe 28th International Conference on Machine Learning, v., no., pp. --
dc.identifier.urihttp://hdl.handle.net/10203/198493-
dc.languageENG-
dc.publisherICML-
dc.titleMultimodal Deep Learning-
dc.typeConference-
dc.type.rimsCONF-
dc.citation.publicationnameThe 28th International Conference on Machine Learning-
dc.identifier.conferencecountryUnited States-
dc.contributor.localauthorNam, Juhan-
dc.contributor.nonIdAuthorNgiam, Jiquan-
dc.contributor.nonIdAuthorKhosla, Aditya-
dc.contributor.nonIdAuthorKim, Mingyu-
dc.contributor.nonIdAuthorLee, Honglak-
dc.contributor.nonIdAuthorNg, Andrew-
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GCT-Conference Papers(학술회의논문)
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