Deep Supervised Multi-View Learning With Graph Priors
This paper presents a novel method for supervised multi-view representation learning, which projects multiple views into a latent common space while preserving the discrimination and intrinsic structure of each view. Specifically, an apriori discriminant similarity graph is first constructed based o...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - 33(2023) vom: 13., Seite 123-133
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| 1. Verfasser: |
Hu, Peng
(VerfasserIn) |
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| Weitere Verfasser: |
Zhen, Liangli,
Peng, Xi,
Zhu, Hongyuan,
Lin, Jie,
Wang, Xu,
Peng, Dezhong |
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| Format: | Online-Aufsatz
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| Sprache: | English |
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| Veröffentlicht: |
2024
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| Zugriff auf das übergeordnete Werk: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
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| Schlagworte: | Journal Article |
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