Kernelized locality-sensitive hashing
Fast retrieval methods are critical for many large-scale and data-driven vision applications. Recent work has explored ways to embed high-dimensional features or complex distance functions into a low-dimensional Hamming space where items can be efficiently searched. However, existing methods do not...
| Publié dans: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - 34(2012), 6 vom: 01. Juni, Seite 1092-104 |
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| Format: | Article en ligne |
| Langue: | English |
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2012
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| Accès à la collection: | IEEE transactions on pattern analysis and machine intelligence |
| Sujets: | Journal Article Research Support, Non-U.S. Gov't Research Support, U.S. Gov't, Non-P.H.S. |
| Accès en ligne |
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