Compact Representation of High-Dimensional Feature Vectors for Large-Scale Image Recognition and Retrieval
In large-scale visual recognition and image retrieval tasks, feature vectors, such as Fisher vector (FV) or the vector of locally aggregated descriptors (VLAD), have achieved state-of-the-art results. However, the combination of the large numbers of examples and high-dimensional vectors necessitates...
Publié dans: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - 25(2016), 5 vom: 04. Mai, Seite 2407-19 |
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Auteur principal: | |
Autres auteurs: | , |
Format: | Article en ligne |
Langue: | English |
Publié: |
2016
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Accès à la collection: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society |
Sujets: | Journal Article Research Support, Non-U.S. Gov't |
Accès en ligne |
Volltext |