Scalable Distributed Hashing for Approximate Nearest Neighbor Search
Hashing has been widely applied to the large-scale approximate nearest neighbor search problem owing to its high efficiency and low storage requirement. Most investigations concentrate on learning hashing methods in a centralized setting. However, in existing big data systems, data is often stored a...
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Détails bibliographiques
| Publié dans: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - 31(2022) vom: 15., Seite 472-484
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| Auteur principal: |
Cao, Yuan
(Auteur) |
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| Autres auteurs: |
Liu, Junwei,
Qi, Heng,
Gui, Jie,
Li, Keqiu,
Ye, Jieping,
Liu, Chao |
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| Format: | Article en ligne
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| Langue: | English |
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| Publié: |
2022
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| Accès à la collection: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
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| Sujets: | Journal Article |
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