Multi-label image categorization with sparse factor representation
The goal of multilabel classification is to reveal the underlying label correlations to boost the accuracy of classification tasks. Most of the existing multilabel classifiers attempt to exhaustively explore dependency between correlated labels. It increases the risk of involving unnecessary label d...
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Détails bibliographiques
| Publié dans: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - 23(2014), 3 vom: 01. März, Seite 1028-37
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| Auteur principal: |
Sun, Fuming
(Auteur) |
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| Autres auteurs: |
Tang, Jinhui,
Li, Haojie,
Qi, Guo-Jun,
Huang, Thomas S |
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| Format: | Article en ligne
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| Langue: | English |
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| Publié: |
2014
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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
Research Support, Non-U.S. Gov't |
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