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Unified Low-Rank Tensor Learning and Spectral Embedding for Multi-View Subspace Clustering.

, , , and . IEEE Trans. Multim., (2023)

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Low-rank tensor approximation with local structure for multi-view intrinsic subspace clustering., , , and . Inf. Sci., (2022)Enhanced Multi-view Matrix Factorization with Shared Representation., , , and . PRCV (4), volume 13022 of Lecture Notes in Computer Science, page 276-287. Springer, (2021)Consistent affinity representation learning with dual low-rank constraints for multi-view subspace clustering., , and . Neurocomputing, (2022)Unified Low-Rank Tensor Learning and Spectral Embedding for Multi-View Subspace Clustering., , , and . IEEE Trans. Multim., (2023)Hierarchical Representation for Multi-view Clustering: From Intra-sample to Intra-view to Inter-view., , , , , and . CIKM, page 2362-2371. ACM, (2022)An overview of recent multi-view clustering., , , and . Neurocomputing, (2020)Community-Aware Efficient Graph Contrastive Learning via Personalized Self-Training., , , , , and . CoRR, (2023)Mutual Information-Driven Multi-View Clustering., , , , and . CIKM, page 3268-3277. ACM, (2023)Multi-View Learning Via Low-Rank Tensor Optimization., , , , and . ICME, page 1-6. IEEE, (2021)Multi-View Deep Matrix Factorization with Consensual Solution from Multiple Paths., , , , and . ICME, page 1-6. IEEE, (2022)