Hashing with Mutual Information

Binary vector embeddings enable fast nearest neighbor retrieval in large databases of high-dimensional objects, and play an important role in many practical applications, such as image and video retrieval. We study the problem of learning binary vector embeddings under a supervised setting, also kno...

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Publié dans:	IEEE transactions on pattern analysis and machine intelligence. - 1979. - 41(2019), 10 vom: 02. Okt., Seite 2424-2437
Auteur principal:	Cakir, Fatih (Auteur)
Autres auteurs:	He, Kun, Bargal, Sarah Adel, Sclaroff, Stan
Format:	Article en ligne
Langue:	English
Publié:	2019
Accès à la collection:	IEEE transactions on pattern analysis and machine intelligence
Sujets:	Journal Article