Multimodal Similarity-Preserving Hashing

We introduce an efficient computational framework for hashing data belonging to multiple modalities into a single representation space where they become mutually comparable. The proposed approach is based on a novel coupled siamese neural network architecture and allows unified treatment of intra- a...

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Publié dans:	IEEE transactions on pattern analysis and machine intelligence. - 1979. - 36(2014), 4 vom: 01. Apr., Seite 824-30
Auteur principal:	Masci, Jonathan (Auteur)
Autres auteurs:	Bronstein, Michael M, Bronstein, Alexander M, Schmidhuber, Jürgen
Format:	Article en ligne
Langue:	English
Publié:	2014
Accès à la collection:	IEEE transactions on pattern analysis and machine intelligence
Sujets:	Journal Article Research Support, Non-U.S. Gov't