Tensorial multi-view subspace clustering with side constraints for elevator security warning
Sign Up to like & getrecommendations! Published in 2024 at "Multimedia Systems"
DOI: 10.1007/s00530-023-01234-3
Abstract: In recent years, using clustering technology to realize equipment security warning is a research hotspot in the field of data mining applications. However, due to the lack of data fusion mechanism and prior knowledge guidance,… read more here.
Keywords: view subspace; tensorial multi; multi view; security warning ... See more keywords
Relative Comparison-Based Consensus Learning for Multi-View Subspace Clustering
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DOI: 10.1109/tcsvt.2024.3434577
Abstract: Current multi-view subspace clustering methods typically consist of a within-view module, which explores inherent characteristics using the self-expressive coefficient matrix, and a cross-view module, which promotes consensus among all views toward similar strengths. However, the… read more here.
Keywords: view; consensus; relative comparison; view subspace ... See more keywords
Adaptive Anchor-Guided Representation Learning for Efficient Multi-View Subspace Clustering
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DOI: 10.1109/tip.2025.3607587
Abstract: Multi-view Subspace Clustering (MVSC) effectively aggregating multiple data sources to promise clustering performance. Recently, various anchor-based variants have been introduced to effectively alleviate the computation complexity of MVSC. Although satisfactory advancement has been achieved, existing… read more here.
Keywords: subspace clustering; representation; anchor; view subspace ... See more keywords
Consensus One-step Multi-view Subspace Clustering
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DOI: 10.1109/tkde.2020.3045770
Abstract: Multi-view clustering has attracted increasing attention in multimedia, machine learning and data mining communities. As one kind of the essential multi-view clustering algorithm, multi-view subspace clustering (MVSC) becomes more and more popular due to its… read more here.
Keywords: view; consensus; subspace clustering; view subspace ... See more keywords
Self-Paced Enhanced Low-Rank Tensor Kernelized Multi-View Subspace Clustering
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DOI: 10.1109/tmm.2021.3112230
Abstract: This paper addresses the multi-view subspace clustering problem and proposes the self-paced enhanced low-rank tensor kernelized multi-view subspace clustering (SETKMC) method, which is based on two motivations: (1) singular values of the representations and multiple… read more here.
Keywords: view; view subspace; multi view; subspace clustering ... See more keywords
Hyper-Laplacian Regularized Nonconvex Low-Rank Representation for Multi-View Subspace Clustering
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DOI: 10.1109/tsipn.2022.3169633
Abstract: Multi-view subspace clustering methods used consensus and supplementary principles to learn the shared self-representation matrix or tensor have been applied to multiple fields. The existing advanced multi-view subspace clustering methods are mainly based on the… read more here.
Keywords: view subspace; low rank; multi view; subspace clustering ... See more keywords
Partially latent factors based multi‐view subspace learning
Sign Up to like & getrecommendations! Published in 2022 at "Computational Intelligence"
DOI: 10.1111/coin.12540
Abstract: Multi‐view subspace clustering always performs well in high‐dimensional data analysis, but is sensitive to the quality of data representation. To this end, a two‐stage fusion strategy is proposed to embed representation learning into the process… read more here.
Keywords: view subspace; multi view; subspace clustering; latent representations ... See more keywords