Scalable Supervised Asymmetric Hashing With Semantic and Latent Factor Embedding
Compact hash code learning has been widely applied to fast similarity search owing to its significantly reduced storage and highly efficient query speed. However, it is still a challenging task to learn discriminative binary codes for perfectly preserving the full pairwise similarities embedded in t...
Ausführliche Beschreibung
Bibliographische Detailangaben
Veröffentlicht in: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - 28(2019), 10 vom: 07. Okt., Seite 4803-4818
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1. Verfasser: |
Zhang, Zheng
(VerfasserIn) |
Weitere Verfasser: |
Lai, Zhihui,
Huang, Zi,
Wong, Wai Keung,
Xie, Guo-Sen,
Liu, Li,
Shao, Ling |
Format: | Online-Aufsatz
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Sprache: | English |
Veröffentlicht: |
2019
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Zugriff auf das übergeordnete Werk: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
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Schlagworte: | Journal Article |