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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Veröffentlicht in:IEEE transactions on pattern analysis and machine intelligence. - 1979. - 38(2016), 7 vom: 15. Juli, Seite 1411-24
1. Verfasser: Hong, Seunghoon (VerfasserIn)
Weitere Verfasser: Choi, Jonghyun, Feyereisl, Jan, Han, Bohyung, Davis, Larry S
Format: Online-Aufsatz
Sprache:English
Veröffentlicht: 2016
Zugriff auf das übergeordnete Werk:IEEE transactions on pattern analysis and machine intelligence
Schlagworte:Journal Article