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Graph Structure Fusion for Multiview Clustering
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Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/s10107-015-0946-6openalex-snapshot
Fast projection onto the simplex and the $$\pmb {l}_\mathbf {1}$$ l 1 ball
inferredcites →https://doi.org/10.1007/s11222-007-9033-zopenalex-snapshot
A tutorial on spectral clustering
inferredcites →https://doi.org/10.1016/j.cviu.2005.09.012openalex-snapshot
Learning generative visual models from few training examples: An incremental Bayesian approach tested on 101 object categories
inferredcites →https://doi.org/10.1023/a:1011139631724openalex-snapshot
Modeling the Shape of the Scene: A Holistic Representation of the Spatial Envelope
inferredcites →https://doi.org/10.1023/b:visi.0000029664.99615.94openalex-snapshot
Distinctive Image Features from Scale-Invariant Keypoints
inferredcites →https://doi.org/10.1073/pnas.35.11.652openalex-snapshot
On a Theorem of Weyl Concerning Eigenvalues of Linear Transformations I
inferredcites →https://doi.org/10.1109/34.868688openalex-snapshot
Normalized cuts and image segmentation
inferredcites →https://doi.org/10.1109/43.310898openalex-snapshot
Spectral K-way ratio-cut partitioning and clustering
inferredcites →https://doi.org/10.1109/acv.1994.341300openalex-snapshot
Parameterisation of a stochastic model for human face identification
inferredcites →https://doi.org/10.1109/cvpr.2005.177openalex-snapshot
Histograms of Oriented Gradients for Human Detection
inferredcites →https://doi.org/10.1109/cvpr.2014.523openalex-snapshot
Multi-feature Spectral Clustering with Minimax Optimization
inferredcites →https://doi.org/10.1109/cvpr.2015.7298657openalex-snapshot
Diversity-induced Multi-view Subspace Clustering
inferredcites →https://doi.org/10.1109/cvpr.2017.461openalex-snapshot
Latent Multi-view Subspace Clustering
inferredcites →https://doi.org/10.1109/cvpr.2017.8openalex-snapshot
Exclusivity-Consistency Regularized Multi-view Subspace Clustering
inferredcites →https://doi.org/10.1109/iccv.2015.185openalex-snapshot
Low-Rank Tensor Constrained Multiview Subspace Clustering
inferredcites →https://doi.org/10.1109/icme.2014.6890289openalex-snapshot
Learning a mid-level feature space for cross-media regularization
inferredcites →https://doi.org/10.1109/mmul.2016.8openalex-snapshot
Social-Sensed Multimedia Computing
inferredcites →https://doi.org/10.1109/tcsvt.2016.2539778openalex-snapshot
Robust Sparse Coding for Mobile Image Labeling on the Cloud
inferredcites →https://doi.org/10.1109/tcyb.2016.2519449openalex-snapshot
Cross-Modal Retrieval With CNN Visual Features: A New Baseline
inferredcites →https://doi.org/10.1109/tcyb.2017.2747400openalex-snapshot
Diverse Non-Negative Matrix Factorization for Multiview Data Representation
inferredcites →https://doi.org/10.1109/tcyb.2017.2751646openalex-snapshot
Graph Learning for Multiview Clustering
inferredcites →https://doi.org/10.1109/tip.2015.2463223openalex-snapshot
Constrained Multi-View Video Face Clustering
inferredcites →https://doi.org/10.1109/tip.2016.2553446openalex-snapshot
Person Re-Identification by Dual-Regularized KISS Metric Learning
inferredcites →https://doi.org/10.1109/tip.2016.2627806openalex-snapshot
Flexible Multi-View Dimensionality Co-Reduction
inferredcites →https://doi.org/10.1109/tip.2017.2754939openalex-snapshot
Auto-Weighted Multi-View Learning for Image Clustering and Semi-Supervised Classification
inferredcites →https://doi.org/10.1109/tkde.2015.2503743openalex-snapshot
Multi-View Clustering Based on Belief Propagation
inferredcites →https://doi.org/10.1109/tkde.2017.2681670openalex-snapshot
Multi-View Unsupervised Feature Selection with Adaptive Similarity and View Weight
inferredcites →https://doi.org/10.1109/tkde.2017.2725263openalex-snapshot
Unsupervised Single and Multiple Views Feature Extraction with Structured Graph
inferredcites →https://doi.org/10.1109/tkde.2018.2849727openalex-snapshot
A Survey on Network Embedding
inferredcites →https://doi.org/10.1109/tmm.2017.2724843openalex-snapshot
General Knowledge Embedded Image Representation Learning
inferredcites →https://doi.org/10.1109/tnnls.2015.2461554openalex-snapshot
Manifold Ranking-Based Matrix Factorization for Saliency Detection
inferredcites →https://doi.org/10.1109/tpami.2007.250598openalex-snapshot
Graph Embedding and Extensions: A General Framework for Dimensionality Reduction
inferredcites →https://doi.org/10.1137/0613006openalex-snapshot
On the Sum of the Largest Eigenvalues of a Symmetric Matrix
inferredcites →https://doi.org/10.1145/1390156.1390191openalex-snapshot
Efficient projections onto the l 1 -ball for learning in high dimensions
inferredcites →https://doi.org/10.1145/1553374.1553391openalex-snapshot
Multi-view clustering via canonical correlation analysis
inferredcites →https://doi.org/10.1145/2623330.2623726openalex-snapshot
Clustering and projected clustering with adaptive neighbors
inferredcites →https://doi.org/10.1145/2775109openalex-snapshot
Modality-Dependent Cross-Media Retrieval
inferredcites →https://doi.org/10.1145/279943.279962openalex-snapshot
Combining labeled and unlabeled data with co-training
inferredcites →https://doi.org/10.1609/aaai.v28i1.8950openalex-snapshot
Robust Multi-View Spectral Clustering via Low-Rank and Sparse Decomposition
inferredcites →https://doi.org/10.1609/aaai.v29i1.9598openalex-snapshot
Large-Scale Multi-View Spectral Clustering via Bipartite Graph
inferredcites →https://doi.org/10.1609/aaai.v30i1.10302openalex-snapshot
The Constrained Laplacian Rank Algorithm for Graph-Based Clustering
inferredcites →https://doi.org/10.1609/aaai.v31i1.10909openalex-snapshot
Multi-View Clustering and Semi-Supervised Classification with Adaptive Neighbours
inferredcites →https://doi.org/10.24963/ijcai.2017/357openalex-snapshot
Self-weighted Multiview Clustering with Multiple Graphs
inferredcites →https://doi.org/10.48550/arxiv.1103.0790openalex-snapshot
The Local Rademacher Complexity of Lp-Norm Multiple Kernel Learning
inferredcites →https://doi.org/10.48550/arxiv.1304.5634openalex-snapshot
A Survey on Multi-view Learning
inferredcites →https://doi.org/10.7551/mitpress/7503.003.0045openalex-snapshot
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Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.2139/ssrn.4790486openalex-extracted
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inferred← citeshttps://doi.org/10.1002/int.22319openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/978-3-030-73197-7_20openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/978-3-030-95239-6_3openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/978-3-031-42313-0_4openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/978-3-031-43412-9_40openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/978-981-16-8052-6_43openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/978-981-99-0185-2_2openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/978-981-99-8178-6_14openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s00371-022-02419-zopenalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s00521-022-06927-wopenalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s00521-023-09054-2openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s00607-025-01464-5openalex-snapshot
Balanced multi-view clustering with dynamic consistency exploration among multiple views
inferred← citeshttps://doi.org/10.1007/s10044-024-01408-3openalex-snapshot
Kernelized multi-view graph clustering via graph structure preserving and consensus affinity graph learning
inferred← citeshttps://doi.org/10.1007/s10489-020-02126-zopenalex-snapshot
Diversity and consistency embedding learning for multi-view subspace clustering
inferred← citeshttps://doi.org/10.1007/s10489-021-02749-wopenalex-snapshot
Robust low-rank representation with adaptive graph regularization from clean data
inferred← citeshttps://doi.org/10.1007/s10489-022-04074-2openalex-snapshot
Diversity-induced consensus and structured graph learning for multi-view clustering
inferred← citeshttps://doi.org/10.1007/s10489-024-05616-6openalex-snapshot
Consensus representation-driven structured graph learning for multi-view clustering
inferred← citeshttps://doi.org/10.1007/s10489-025-06476-4openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s11042-020-08736-6openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s11042-022-12495-xopenalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s11042-023-15610-8openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s11042-023-15645-xopenalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s13042-021-01394-6openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s40747-024-01509-wopenalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s41060-025-01010-8openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.asoc.2021.107724openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.csbj.2021.04.060openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.dsp.2022.103607openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.engappai.2023.106209openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.engappai.2024.109502openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.engappai.2025.111656openalex-snapshot
Consistent learning for incomplete multi-view clustering
inferred← citeshttps://doi.org/10.1016/j.eswa.2020.113913openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.eswa.2021.114783openalex-snapshot
A network-based sparse and multi-manifold regularized multiple non-negative matrix factorization for multi-view clustering
inferred← citeshttps://doi.org/10.1016/j.eswa.2024.123867openalex-snapshot
Non-convex feature selection based on feature correlation representation and dual manifold optimization
inferred← citeshttps://doi.org/10.1016/j.eswa.2026.134005openalex-snapshot
Distributionally robust multi-view clustering with anchor graph learning
inferred← citeshttps://doi.org/10.1016/j.inffus.2021.12.001openalex-snapshot
Nonredundancy regularization based nonnegative matrix factorization with manifold learning for multiview data representation
inferred← citeshttps://doi.org/10.1016/j.inffus.2022.10.020openalex-snapshot
Seeking commonness and inconsistencies: A jointly smoothed approach to multi-view subspace clustering
inferred← citeshttps://doi.org/10.1016/j.inffus.2024.102345openalex-snapshot
Self-paced semi-supervised feature selection with application to multi-modal Alzheimer’s disease classification
inferred← citeshttps://doi.org/10.1016/j.inffus.2024.102821openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.inffus.2025.103322openalex-snapshot
Mixed-noise robust tensor multi-view clustering via adaptive dictionary learning
inferred← citeshttps://doi.org/10.1016/j.ins.2021.03.059openalex-snapshot
Fine-grained similarity fusion for Multi-view Spectral Clustering
inferred← citeshttps://doi.org/10.1016/j.ins.2022.12.063openalex-snapshot
Consensus and complementary regularized non-negative matrix factorization for multi-view image clustering
inferred← citeshttps://doi.org/10.1016/j.ipm.2020.102466openalex-snapshot
Trio-based collaborative multi-view graph clustering with multiple constraints
inferred← citeshttps://doi.org/10.1016/j.ipm.2022.102967openalex-snapshot
Contrastive and attentive graph learning for multi-view clustering
inferred← citeshttps://doi.org/10.1016/j.knosys.2019.105126openalex-snapshot
One-step Kernel Multi-view Subspace Clustering
inferred← citeshttps://doi.org/10.1016/j.knosys.2020.106489openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.knosys.2021.107244openalex-snapshot
Semi-supervised multi-view learning by using label propagation based non-negative matrix factorization
inferred← citeshttps://doi.org/10.1016/j.knosys.2021.107443openalex-snapshot
Joint image clustering and feature selection with auto-adjoined learning for high-dimensional data
inferred← citeshttps://doi.org/10.1016/j.knosys.2022.110141openalex-snapshot
Facilitated low-rank multi-view subspace clustering
inferred← citeshttps://doi.org/10.1016/j.knosys.2024.112537openalex-snapshot
Discriminative fuzzy K -means clustering with local structure preservation for high-dimensional data
inferred← citeshttps://doi.org/10.1016/j.knosys.2025.113960openalex-snapshot
Scalable Multiview Clustering through Consistency Fusion of Shared Bipartite Graphs
inferred← citeshttps://doi.org/10.1016/j.media.2022.102698openalex-snapshot
Orthogonal latent space learning with feature weighting and graph learning for multimodal Alzheimer’s disease diagnosis
inferred← citeshttps://doi.org/10.1016/j.neucom.2020.02.071openalex-snapshot
Auto-weighted multi-view clustering via spectral embedding
inferred← citeshttps://doi.org/10.1016/j.neucom.2020.07.132openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.neucom.2020.10.052openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.neucom.2021.01.132openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.neucom.2021.08.113openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.neucom.2023.03.036openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.neucom.2024.127259openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.neucom.2025.129568openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.neucom.2025.130938openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.neucom.2026.135162openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.neunet.2020.10.014openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.neunet.2021.07.020openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.patcog.2020.107676openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.patcog.2021.107890openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.patcog.2021.107987openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.patcog.2021.108196openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.patcog.2023.109836openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.patcog.2024.110592openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.patcog.2024.110715openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.patrec.2022.01.022openalex-snapshot
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inferred← citeshttps://doi.org/10.1049/gtd2.12040openalex-snapshot
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inferred← citeshttps://doi.org/10.1093/comnet/cnac048openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/access.2019.2923614openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/access.2021.3083501openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/access.2023.3243722openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/iccv51070.2023.01772openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/icdm.2019.00148openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/icdmw58026.2022.00116openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/icme51207.2021.9428106openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/icpads60453.2023.00056openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/ijcnn55064.2022.9892515openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/itme56794.2022.00143openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/lsp.2020.2970811openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/paap56126.2022.10010419openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/smc54092.2024.10831855openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/tai.2025.3578585openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/tce.2023.3301067openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/tcss.2024.3479188openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/tcsvt.2022.3162575openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/tcyb.2019.2955388openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/tcyb.2020.2984552openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/tcyb.2020.3000947openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/tcyb.2020.3034462openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/tcyb.2021.3061660openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/tcyb.2021.3067137openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/tcyb.2021.3071451openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/tcyb.2021.3126727openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/tcyb.2021.3131749openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/tetci.2023.3306233openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/tetci.2024.3367811openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/tetci.2024.3369316openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/tfuzz.2026.3686017openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/tip.2020.3045631openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/tip.2020.3048626openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/tip.2022.3147046openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/tip.2023.3243521openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/tip.2023.3261746openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/tip.2024.3444320openalex-snapshot
Scalable and Structural Multi-View Graph Clustering With Adaptive Anchor Fusion
inferred← citeshttps://doi.org/10.1109/tkde.2019.2942590openalex-snapshot
Deep Multi-View Learning to Rank
inferred← citeshttps://doi.org/10.1109/tkde.2019.2953412openalex-snapshot
2019 Index IEEE Transactions on Knowledge and Data Engineering Vol. 31
inferred← citeshttps://doi.org/10.1109/tkde.2020.3035695openalex-snapshot
MMCo- Clus – An Evolutionary Co-clustering Algorithm for Gene Selection
inferred← citeshttps://doi.org/10.1109/tkde.2021.3068461openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/tkde.2021.3101227openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/tkde.2022.3172687openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/tkde.2022.3185683openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/tkde.2022.3193569openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/tkde.2022.3206871openalex-snapshot
A Complex Weighted Discounting Multisource Information Fusion With its Application in Pattern Classification
inferred← citeshttps://doi.org/10.1109/tkde.2023.3264971openalex-snapshot
Joint Network Topology Inference via Structural Fusion Regularization
inferred← citeshttps://doi.org/10.1109/tkde.2023.3268215openalex-snapshot
Multi-View Bipartite Graph Clustering With Coupled Noisy Feature Filter
inferred← citeshttps://doi.org/10.1109/tkde.2023.3290792openalex-snapshot
Individual and Structural Graph Information Bottlenecks for Out-of-Distribution Generalization
inferred← citeshttps://doi.org/10.1109/tkde.2024.3399738openalex-snapshot
Multiple Kernel Clustering With Adaptive Multi-Scale Partition Selection
inferred← citeshttps://doi.org/10.1109/tkde.2024.3443534openalex-snapshot
A Balanced and Scalable Graph-Based Multiview Clustering Method
inferred← citeshttps://doi.org/10.1109/tkde.2026.3682510openalex-snapshot
Scalable Graph Discrete Reconstruction for Efficient Multi-View Clustering
inferred← citeshttps://doi.org/10.1109/tmm.2020.3019683openalex-snapshot
Unsupervised Multi-View Clustering by Squeezing Hybrid Knowledge From Cross View and Each View
inferred← citeshttps://doi.org/10.1109/tmm.2021.3081930openalex-snapshot
Consensus Graph Learning for Multi-View Clustering
inferred← citeshttps://doi.org/10.1109/tmm.2021.3136098openalex-snapshot
Consistent Multiple Graph Embedding for Multi-View Clustering
inferred← citeshttps://doi.org/10.1109/tmm.2023.3321499openalex-snapshot
Robust Tensor Recovery for Incomplete Multi-View Clustering
inferred← citeshttps://doi.org/10.1109/tmm.2024.3521747openalex-snapshot
Reordered $k$-Means: A New Baseline for View-Unaligned Multi-View Clustering
inferred← citeshttps://doi.org/10.1109/tmm.2024.3521771openalex-snapshot
Between/Within View Information Completing for Tensorial Incomplete Multi-View Clustering
inferred← citeshttps://doi.org/10.1109/tmm.2024.3521803openalex-snapshot
Graph Proxy Fusion: Consensus Graph Intermediated Multi-View Local Information Fusion Clustering
inferred← citeshttps://doi.org/10.1109/tmm.2025.3565971openalex-snapshot
Tensor-Based Late Fusion Incomplete Multiview Clustering
inferred← citeshttps://doi.org/10.1109/tmm.2025.3623557openalex-snapshot
Interpretable Multi-View Representation Learning Towards Complex Scenes: From Homogeneity to Heterogeneity
inferred← citeshttps://doi.org/10.1109/tmm.2026.3660113openalex-snapshot
Twin Tensor Learning for Consistency and Inconsistency: A Unified Affinity Learning Framework for Multi-View Clustering
inferred← citeshttps://doi.org/10.1109/tnnls.2020.2991366openalex-snapshot
Simultaneous Global and Local Graph Structure Preserving for Multiple Kernel Clustering
inferred← citeshttps://doi.org/10.1109/tnnls.2021.3069424openalex-snapshot
Multiview Subspace Clustering via Co-Training Robust Data Representation
inferred← citeshttps://doi.org/10.1109/tnnls.2021.3093297openalex-snapshot
Multi-View Clustering via Nonnegative and Orthogonal Graph Reconstruction
inferred← citeshttps://doi.org/10.1109/tnnls.2021.3104846openalex-snapshot
Multiview Clustering via Proximity Learning in Latent Representation Space
inferred← citeshttps://doi.org/10.1109/tnnls.2021.3117403openalex-snapshot
Late Fusion Multiple Kernel Clustering With Proxy Graph Refinement
inferred← citeshttps://doi.org/10.1109/tnnls.2022.3192445openalex-snapshot
Multi-View Graph Learning by Joint Modeling of Consistency and Inconsistency
inferred← citeshttps://doi.org/10.1109/tnnls.2022.3201498openalex-snapshot
A Unified Framework Based on Graph Consensus Term for Multiview Learning
inferred← citeshttps://doi.org/10.1109/tnnls.2022.3201562openalex-snapshot
Incomplete Multiview Nonnegative Representation Learning With Graph Completion and Adaptive Neighbors
inferred← citeshttps://doi.org/10.1109/tnnls.2023.3239033openalex-snapshot
Graph-Collaborated Auto-Encoder Hashing for Multiview Binary Clustering
inferred← citeshttps://doi.org/10.1109/tnnls.2023.3253246openalex-snapshot
Efficient and Effective One-Step Multiview Clustering
inferred← citeshttps://doi.org/10.1109/tnnls.2023.3279133openalex-snapshot
Multi-View and Multi-Order Structured Graph Learning
inferred← citeshttps://doi.org/10.1109/tnnls.2023.3290540openalex-snapshot
Multiview Structural Large Margin Classifier and its Safe Acceleration Strategy
inferred← citeshttps://doi.org/10.1109/tnnls.2024.3359690openalex-snapshot
Fast Multiview Anchor-Graph Clustering
inferred← citeshttps://doi.org/10.1109/tnnls.2025.3525766openalex-snapshot
Dual-Structural Bipartite Graph Learning for Multiview Clustering
inferred← citeshttps://doi.org/10.1109/tpami.2026.3655829openalex-snapshot
Enhance Before Fusion: Multi-View Graph Clustering With Graph Trend Filter
inferred← citeshttps://doi.org/10.1109/tsm.2026.3665568openalex-snapshot
A Novel Health Index Framework for Semiconductor Equipment Using Multi-View Data
inferred← citeshttps://doi.org/10.1109/wsc60868.2023.10407547openalex-snapshot
Semiconductor Equipment Health Monitoring With Multi-View Data
inferred← citeshttps://doi.org/10.1145/3398728openalex-snapshot
Adaptive Multi-Task Dual-Structured Learning with Its Application on Alzheimer’s Disease Study
inferred← citeshttps://doi.org/10.1145/3503161.3548144openalex-snapshot
Bipartite Graph-based Discriminative Feature Learning for Multi-View Clustering
inferred← citeshttps://doi.org/10.1145/3503161.3548334openalex-snapshot
Multiple Kernel Clustering with Dual Noise Minimization
inferred← citeshttps://doi.org/10.1145/3532612openalex-snapshot
Individuality Meets Commonality: A Unified Graph Learning Framework for Multi-View Clustering
inferred← citeshttps://doi.org/10.1145/3534931openalex-snapshot
Structure Diversity-Induced Anchor Graph Fusion for Multi-View Clustering
inferred← citeshttps://doi.org/10.1145/3581783.3612237openalex-snapshot
Multi-view Self-Expressive Subspace Clustering Network
inferred← citeshttps://doi.org/10.1145/3581783.3613445openalex-snapshot
Robust Spectral Embedding Completion Based Incomplete Multi-view Clustering
inferred← citeshttps://doi.org/10.1145/3661725.3661743openalex-snapshot
Latent Multi-view Clustering Based Adaptive Graph Constraint
inferred← citeshttps://doi.org/10.1145/3690624.3709204openalex-snapshot
Semi-supervised Multi-view Clustering with Active Constraints
inferred← citeshttps://doi.org/10.1145/3735644openalex-snapshot
Large-Scale Tensorized Multi-View Kernel Subspace Clustering
inferred← citeshttps://doi.org/10.1145/3771274openalex-snapshot
MCSS: Discovering Consistently Determined Relation in Multi-View Clustering Based on Sample’s Stability
inferred← citeshttps://doi.org/10.1155/2019/6084382openalex-snapshot
Multiview Clustering via Robust Neighboring Constraint Nonnegative Matrix Factorization
inferred← citeshttps://doi.org/10.1155/2020/5175210openalex-snapshot
Exact k -Component Graph Learning for Image Clustering
inferred← citeshttps://doi.org/10.1155/2021/4296247openalex-snapshot
Semi‐Supervised Multi‐View Clustering with Weighted Anchor Graph Embedding
inferred← citeshttps://doi.org/10.1155/2022/1866636openalex-snapshot
Multiview Latent Representation Learning with Feature Diversity for Clustering
inferred← citeshttps://doi.org/10.1155/2022/8036956openalex-snapshot
Systematic Risk Analysis of Semiconductor Global Market Based on Deep Feature Fusion K-Means Algorithm
inferred← citeshttps://doi.org/10.1609/aaai.v34i04.5867openalex-snapshot
Large-Scale Multi-View Subspace Clustering in Linear Time
inferred← citeshttps://doi.org/10.1609/aaai.v35i11.17231openalex-snapshot
Unified Tensor Framework for Incomplete Multi-view Clustering and Missing-view Inferring
inferred← citeshttps://doi.org/10.1609/aaai.v38i13.29380openalex-snapshot
Adaptive Feature Imputation with Latent Graph for Deep Incomplete Multi-View Clustering
inferred← citeshttps://doi.org/10.2139/ssrn.7578366openalex-snapshot
Fast Multi-view Spectral Clustering with BipartiteGraph Fusion
inferred← citeshttps://doi.org/10.2174/0113892029387405250921211549openalex-snapshot
Two-Stage Multi-View Graph Spectral Clustering for Single-Cell RNASeq Data
inferred← citeshttps://doi.org/10.32657/10356/153094openalex-snapshot
Extreme learning machine for classification and clustering on multiview data
inferred← citeshttps://doi.org/10.3390/bdcc10090289openalex-snapshot
Learning Multi-View Representations with Graph-Level Fusion: A Bi-Level Optimization Perspective
inferred← citeshttps://doi.org/10.3390/e28050520openalex-snapshot
Tri-Level Consistency–Diversity Calibration for Multi-View Representation Learning
inferred← citeshttps://doi.org/10.48550/arxiv.2003.13088openalex-snapshot
Generative Partial Multi-View Clustering
inferred← citeshttps://doi.org/10.48550/arxiv.2004.03106openalex-snapshot
Consistent and Complementary Graph Regularized Multi-view Subspace Clustering
inferred← citeshttps://doi.org/10.70675/974a83e7z550fz4c44za1afzcbc1db0cc9f1openalex-snapshot
Incomplete multi-view data clustering with hidden data mining and fusion techniques
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