Discrete Hashing with Multiple Supervision

Supervised hashing methods have achieved more promising results than unsupervised ones by leveraging label information to generate compact and accurate hash codes. Most of the prior supervised hashing methods construct an n × n instance-pairwise similarity matrix, where n is the number of training s...

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Bibliographische Detailangaben
Veröffentlicht in:IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - (2019) vom: 11. Jan.
1. Verfasser: Luo, Xin (VerfasserIn)
Weitere Verfasser: Zhang, Peng-Fei, Huang, Zi, Nie, Liqiang, Xu, Xin-Shun
Format: Online-Aufsatz
Sprache:English
Veröffentlicht: 2019
Zugriff auf das übergeordnete Werk:IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
Schlagworte:Journal Article