Tensorized Multi-View Subspace Clustering via Tensor Nuclear Norm and Block Diagonal Representation
Recently, a growing number of researchers have focused on multi-view subspace clustering (MSC) due to its potential for integrating heterogeneous data. However, current MSC methods remain challenged by limited robustness and insufficient exploitation of cross-view high-order latent information for c...
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| Autori principali: | , , , |
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| Natura: | Artigo |
| Lingua: | Inglês |
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MDPI AG
2025-08-01
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| Serie: | Mathematics |
| Soggetti: | |
| Accesso online: | https://www.mdpi.com/2227-7390/13/17/2710 |
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