Joint Image Clustering and Labeling by Matrix Factorization
We propose a novel algorithm to cluster and annotate a set of input images jointly, where the images are clustered into several discriminative groups and each group is identified with representative labels automatically. For these purposes, each input image is first represented by a distribution of...
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Détails bibliographiques
| Publié dans: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - 38(2016), 7 vom: 15. Juli, Seite 1411-24
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| Auteur principal: |
Hong, Seunghoon
(Auteur) |
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| Autres auteurs: |
Choi, Jonghyun,
Feyereisl, Jan,
Han, Bohyung,
Davis, Larry S |
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| Format: | Article en ligne
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| Langue: | English |
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| Publié: |
2016
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| Accès à la collection: | IEEE transactions on pattern analysis and machine intelligence
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| Sujets: | Journal Article |
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