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Clustering algorithm evaluation
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Mixture, models
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PR(64), No. 1, 2017, pp. 386-398.
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1701
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Co-clustering
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1706
Algorithm design and analysis, Benchmark testing,
Clustering algorithms, Internet, Object detection, Proposals,
Visualization, Co-clustering, multi-class, salient, object, detection
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Knowledge transfer for spectral clustering,
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1806
Transfer learning, Spectral clustering, Co-clustering, Multi-task learning
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1906
Image segmentation, Object segmentation,
Multiview segmentation, Co-clustering techniques
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Multi-view co-clustering, Information bottleneck, Weighting
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2108
Cross-domain collaborative filtering, Transfer learning,
Data sparsity, Co-clustering
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Fast co-clustering, Clustering, Normalized cuts, Weighted bilateral -means
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Lu, Z.M.[Zhou-Min],
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Robust weighted co-clustering with global and local discrimination,
PR(138), 2023, pp. 109405.
Elsevier DOI
2303
Machine learning, Co-clustering, Nonnegative matrix factorization,
Global discrimination, Local discrimination
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Sugahara, K.[Kai],
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Hierarchical co-clustering with augmented matrices from external
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PR(142), 2023, pp. 109657.
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2307
Hierarchical co-clustering, Transfer learning,
Relational data analysis, Unsupervised machine learning,
Mutual information
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Liu, B.Q.[Bing-Qing],
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2310
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Deng, X.[Xiang],
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Beyond Word Embeddings: Heterogeneous Prior Knowledge Driven
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MultMed(25), 2023, pp. 4013-4025.
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2310
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Wu, Y.[Yanan],
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Transformer Driven Matching Selection Mechanism for Multi-Label Image
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CirSysVideo(34), No. 2, February 2024, pp. 924-937.
IEEE DOI
2402
Transformers, Semantics, Correlation, Image classification,
Task analysis, Visualization, Computational modeling, attention mechanism
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You, H.H.[Hai-Hui],
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Multi-Label Remote Sensing Image Land Cover Classification Based on a
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Chen, C.[Cheng],
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2311
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Liu, Z.M.[Zi-Ming],
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Xu, Y.Y.[Yuan-Yuan],
Huo, F.[Fushuo],
Towards Unbiased Multi-Label Zero-Shot Learning With Pyramid and
Semantic Attention,
MultMed(25), 2023, pp. 7441-7455.
IEEE DOI
2311
BibRef
Zhao, D.W.[Da-Wei],
Gao, Q.W.[Qing-Wei],
Lu, Y.X.[Yi-Xiang],
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Non-Aligned Multi-View Multi-Label Classification via Learning
View-Specific Labels,
MultMed(25), 2023, pp. 7235-7247.
IEEE DOI
2311
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Wu, Y.[Yanan],
Feng, S.[Songhe],
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Semantic-Aware Graph Matching Mechanism for Multi-Label Image
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CirSysVideo(33), No. 11, November 2023, pp. 6788-6803.
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2311
BibRef
Qiang, Q.Y.[Qian-Yao],
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Multi-View Discrete Clustering: A Concise Model,
PAMI(45), No. 12, December 2023, pp. 15154-15170.
IEEE DOI
2311
BibRef
Liu, C.L.[Cheng-Liang],
Wu, Z.H.[Zhi-Hao],
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MultMed(25), 2023, pp. 5539-5551.
IEEE DOI
2311
BibRef
Yang, Z.Q.[Ze-Qun],
Zhang, H.[Han],
Wei, Y.[Yake],
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Nie, F.P.[Fei-Ping],
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PR(147), 2024, pp. 110082.
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WWW Link.
2312
Multi-view clustering, Incomplete view, Weight aggregation,
Geometric analysis, Graph-based clustering
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Li, L.[Li],
Han, Q.H.[Qi-Hong],
Li, J.Y.[Jia-Yao],
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Two-step multi-view data classification based on dynamic Graph-ELM,
PRL(176), 2023, pp. 236-243.
Elsevier DOI
2312
Multi-view data, Classification, Graph learning, GBS
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Shen, Q.Q.[Qiang-Qiang],
Chen, Y.Y.[Yong-Yong],
Zhang, C.Q.[Chang-Qing],
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Pick-and-Place Transform Learning for Fast Multi-View Clustering,
IP(33), 2024, pp. 1272-1284.
IEEE DOI
2402
Transforms, Matrix decomposition, Dictionaries, Clustering methods,
Time complexity, Sparse matrices, Security, Multi-view clustering,
feature selection
BibRef
Gou, J.P.[Jian-Ping],
Xie, N.N.[Nan-Nan],
Yuan, Y.H.[Yun-Hao],
Du, L.[Lan],
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Yi, Z.[Zhang],
Reconstructed Graph Constrained Auto-Encoders for Multi-View
Representation Learning,
MultMed(26), 2024, pp. 1319-1332.
IEEE DOI
2402
Representation learning, Laplace equations, Neural networks,
Deep learning, Data models, Manifold learning, Linear programming,
Multi-view representation learning
BibRef
Shen, Q.Q.[Qiang-Qiang],
Xu, T.T.[Ting-Ting],
Liang, Y.S.[Yong-Sheng],
Chen, Y.Y.[Yong-Yong],
He, Z.Y.[Zhen-Yu],
Robust Tensor Recovery for Incomplete Multi-View Clustering,
MultMed(26), 2024, pp. 3856-3870.
IEEE DOI
2402
Tensors, Clustering methods, Noise reduction, Transforms, Kernel,
Robustness, Security, Denoising, incomplete multi-view clustering,
tensor completion
BibRef
Peng, C.[Chong],
Kang, K.[Kehan],
Chen, Y.Y.[Yong-Yong],
Kang, Z.[Zhao],
Chen, C.L.Z.[Cheng-Li-Zhao],
Cheng, Q.[Qiang],
Fine-Grained Essential Tensor Learning for Robust Multi-View Spectral
Clustering,
IP(33), 2024, pp. 3145-3160.
IEEE DOI
2405
Tensors, Computer science, Vectors, Task analysis, Standards,
Optimization, Fast Fourier transforms, Multi-view, low-rank
BibRef
Peng, C.[Chong],
Liu, C.[Chundan],
Bai, Y.[Yang],
Chen, Y.Y.[Yong-Yong],
Kang, Z.[Zhao],
Dong, J.[Junyun],
Jiang, G.Y.[Gui-Yuan],
Chen, C.L.[Cheng-Lizhao],
Fine-grained tensor completion for incomplete multi-view clustering,
PR(174), 2026, pp. 112956.
Elsevier DOI
2602
Incomplete multi-view clustering, Cross-order neighbor, Tensor completion
BibRef
Qin, Y.L.[Ya-Lan],
Pu, N.[Nan],
Wu, H.Z.[Han-Zhou],
EDMC: Efficient Multi-View Clustering via Cluster and Instance Space
Learning,
MultMed(26), 2024, pp. 5273-5283.
IEEE DOI
2404
Clustering algorithms, Tensors, Scalability,
Representation learning, Optimization, Dimensionality reduction,
a unified framework
BibRef
Qin, Y.L.[Ya-Lan],
Pu, N.[Nan],
Wu, H.Z.[Han-Zhou],
Sebe, N.[Nicu],
Discriminative Anchor Learning for Efficient Multi-View Clustering,
MultMed(27), 2025, pp. 1386-1396.
IEEE DOI
2503
Representation learning, Kernel, Optimization, Laplace equations,
Vectors, Time complexity, Matrix decomposition, Feature extraction,
effectiveness and efficiency
BibRef
Qin, Y.L.[Ya-Lan],
Qin, C.[Chuan],
Zhang, X.P.[Xin-Peng],
Feng, G.R.[Guo-Rui],
Dual Consensus Anchor Learning for Fast Multi-View Clustering,
IP(33), 2024, pp. 5298-5311.
IEEE DOI
2410
Matrix decomposition, Clustering methods, Clustering algorithms,
Partitioning algorithms, Laplace equations, Periodic structures, efficiency
BibRef
Zhang, F.H.[Feng-Hua],
Che, H.J.[Hang-Jun],
Separable Consistency and Diversity Feature Learning for Multi-View
Clustering,
SPLetters(31), 2024, pp. 1595-1599.
IEEE DOI
2406
Representation learning, Matrix decomposition, Clustering methods,
Optimization, Measurement, Data models, data reconstruction
BibRef
Chen, J.[Jie],
Chen, Y.K.[Ying-Ke],
Wang, Z.[Zhu],
Zhang, H.X.[Hai-Xian],
Peng, X.[Xi],
Spectral Embedding Fusion for Incomplete Multiview Clustering,
IP(33), 2024, pp. 4116-4130.
IEEE DOI
2407
Tensors, Correlation, Sparse matrices, Optimization,
Matrix converters, Filling, Clustering algorithms, spectral rotation
BibRef
Yang, Z.[Zengbiao],
Tan, Y.H.[Yi-Hua],
Yang, T.[Tao],
Large-scale multi-view clustering via matrix factorization of
consensus graph,
PR(155), 2024, pp. 110716.
Elsevier DOI
2408
Multi-view clustering, Consensus graph, Matrix factorization, Anchors
BibRef
Xing, L.[Lei],
Song, Y.W.[Ya-Wen],
Chen, B.D.[Ba-Dong],
Yu, C.Y.[Chang-Yuan],
Qin, J.[Jing],
Incomplete Multi-View Clustering via Correntropy and Complement
Consensus Learning,
MultMed(26), 2024, pp. 8063-8076.
IEEE DOI
2408
Clustering algorithms, Kernel, Self-supervised learning, Matrix decomposition,
Iterative methods, Tensors, Random variables, robustness
BibRef
Cao, J.F.[Jun-Feng],
Dong, W.H.[Wen-Hua],
Chen, J.[Jing],
View-unaligned clustering with graph regularization,
PR(155), 2024, pp. 110706.
Elsevier DOI
2408
Multi-view clustering, View-unaligned problem,
Latent embedding learning, Latent embedding alignment, Matrix factorization
BibRef
Xu, D.[Deng],
Zhang, C.[Chao],
Li, Z.C.[Ze-Chao],
Chen, C.L.[Chun-Lin],
Li, H.X.[Hua-Xiong],
Fast Disentangled Slim Tensor Learning for Multi-View Clustering,
MultMed(27), 2025, pp. 1254-1265.
IEEE DOI
2503
Tensors, Correlation, Semantics, Vectors, Static VAr compensators,
Stacking, Principal component analysis, Fast Fourier transforms,
slim tensor learning
BibRef
Zhang, C.[Chao],
Chen, H.X.[Hao-Xing],
Li, H.X.[Hua-Xiong],
Chen, C.L.[Chun-Lin],
Learning latent disentangled embeddings and graphs for multi-view
clustering,
PR(156), 2024, pp. 110839.
Elsevier DOI
2408
Multi-view clustering, Embedding disentanglement,
Graph learning, Low-rank tensor
BibRef
Yang, G.[Gui],
Zou, J.[Jiale],
Chen, Y.[Yan],
Du, L.[Liang],
Zhou, P.[Peng],
Heat Kernel Diffusion for Enhanced Late Fusion Multi-View Clustering,
SPLetters(31), 2024, pp. 2310-2314.
IEEE DOI
2410
Kernel, Information filters, Heating systems, Optimization, Noise,
Task analysis, Clustering algorithms, Late fusion, smoothed representation
BibRef
Liu, C.D.[Chun-Dan],
Zhang, Q.[Qian],
Chen, Y.Y.[Yong-Yong],
Dong, J.Y.[Jun-Yu],
Peng, C.[Chong],
Enhancing Inter-Class Separability With High-Order Strangers for
Multi-View Clustering,
SPLetters(31), 2024, pp. 2460-2464.
IEEE DOI
2410
Tensors, Standards, Data models, Computer science,
Technological innovation, Indexes, Vectors,
stranger information
BibRef
Li, Y.P.[Ya-Peng],
Luo, Y.[Yong],
Du, B.[Bo],
UVaT: Uncertainty Incorporated View-Aware Transformer for Robust
Multi-View Classification,
IP(33), 2024, pp. 5129-5143.
IEEE DOI Code:
WWW Link.
2410
Noise measurement, Uncertainty, Transformers, Training, Robustness,
Noise, Data models, Multi-view classification, incomplete view, uncertainty
BibRef
Zhao, L.[Liang],
Xie, Q.J.[Qiong-Jie],
Distribution-Level Multi-View Clustering for Unaligned Data,
SPLetters(31), 2024, pp. 2330-2334.
IEEE DOI
2410
Generators, Attention mechanisms, Training, Loss measurement, Vectors,
Transforms, Standards, Multi-cluster view, unmapping data,
deep clustering module
BibRef
Dong, W.H.[Wen-Hua],
Wu, X.J.[Xiao-Jun],
Feng, Z.H.[Zhen-Hua],
Ahmed, S.A.A.[Sara Atito Ali],
Awais, M.[Muhammad],
Kittler, J.V.[Josef V.],
One-pass View-unaligned Clustering,
MultMed(26), 2024, pp. 9699-9709.
IEEE DOI
2410
Clustering methods, Clustering algorithms, Vectors, Scalability,
Noise robustness, Task analysis, Speech recognition, Multi-view, relaxed k-means
BibRef
Wan, M.H.[Ming-Hua],
Zhu, J.Y.[Jing-Yu],
Sun, C.L.[Chang-Le],
Yang, Z.J.[Zhang-Jing],
Yin, J.[Jun],
Yang, G.[Guowei],
Tensor Low-Rank Graph Embedding and Learning for One-Step Incomplete
Multi-View Clustering,
MultMed(26), 2024, pp. 9763-9775.
IEEE DOI
2410
Tensors, Clustering algorithms, Clustering methods, Correlation,
Computer science, Symbols, Sun, Graph embedding,
tensor low-rank constraint
BibRef
Zhong, G.[Guo],
Wu, J.C.[Juan-Chun],
Yan, X.M.[Xue-Ming],
Ma, X.L.[Xuan-Long],
Lin, S.X.[Shi-Xun],
Nonnegative Tensor Representation With Cross-View Consensus for
Incomplete Multi-View Clustering,
SPLetters(31), 2024, pp. 2605-2609.
IEEE DOI
2410
Tensors, Representation learning, Vectors, Correlation, Transforms,
Stacking, Sparse matrices, Data reconstruction,
low-rank tensor representation
BibRef
Sun, W.J.[Wei-Jun],
Li, C.[Chaoye],
Li, Q.Y.[Qiao-Yun],
Fang, X.Z.[Xiao-Zhao],
He, J.[Jiakai],
Liu, L.[Lei],
Joint Intra-view and Inter-view Enhanced Tensor Low-rank Induced
Affinity Graph Learning,
PR(159), 2025, pp. 111140.
Elsevier DOI
2412
Multi-view clustering, Graph learning, Tensor, Low-rank
BibRef
Battaglia, E.[Elena],
Peiretti, F.[Federico],
Pensa, R.G.[Ruggero Gaetano],
Co-clustering: A Survey of the Main Methods, Recent Trends, and Open
Problems,
Surveys(57), No. 2, November 2024, pp. xx-yy.
DOI Link
2501
Survey, Co-Clustering. Co-Clustering, high-dimensional data clustering, review
BibRef
Huang, Z.J.[Zhi-Jie],
Huang, B.Q.[Bin-Qiang],
Zheng, Q.H.[Qing-Hai],
Yu, Y.L.[Yuan-Long],
Cross-View Fusion for Multi-View Clustering,
SPLetters(32), 2025, pp. 621-625.
IEEE DOI
2502
Feature extraction, Autoencoders, Fuses, Data mining,
Symmetric matrices, Semantics, Correlation, Training,
multi-view fusion
BibRef
Huang, Z.J.[Zhi-Jie],
Huang, B.Q.[Bin-Qiang],
Zheng, Q.H.[Qing-Hai],
Yu, Y.L.[Yuan-Long],
Cross-View Fusion for Multi-View Clustering,
SPLetters(32), 2025, pp. 621-625.
IEEE DOI
2502
Feature extraction, Autoencoders, Fuses, Data mining,
Symmetric matrices, Semantics, Correlation, Training,
multi-view fusion
BibRef
Xu, J.P.[Jun-Peng],
Meng, M.[Min],
Liu, J.G.[Ji-Gang],
Wu, J.G.[Ji-Gang],
Deep multi-view clustering with diverse and discriminative feature
learning,
PR(161), 2025, pp. 111322.
Elsevier DOI Code:
WWW Link.
2502
Multi-view clustering, Contrastive learning,
Maximally diverse learning, Representation learning
BibRef
Geng, C.X.[Chuan-Xing],
Han, A.[Aiyang],
Chen, S.C.[Song-Can],
Explicit View-Labels Matter:
A Multifacet Complementarity Study of Multi-View Clustering,
PAMI(47), No. 4, April 2025, pp. 2520-2532.
IEEE DOI
2503
Contrastive learning, Semantics, Representation learning, Fuses,
Surveys, Reviews, Decoding, Autoencoders, Visualization, Vectors,
contrastive learning
BibRef
Wu, S.S.[Shan-Shan],
Lu, G.F.[Gui-Fu],
Consensus Incomplete Multi-View Clustering with Nonconvex Tensor
Smooth Graph Learning,
PR(167), 2025, pp. 111764.
Elsevier DOI Code:
WWW Link.
2506
Incomplete multi-view clustering, global low-rank,
local smooth, nonconvex tensor approximation
BibRef
Xue, Z.[Zhe],
Li, Y.W.[Ya-Wen],
Guan, Z.C.[Zhong-Chao],
Li, W.L.[Wen-Ling],
Liang, M.[Meiyu],
Zhou, H.[Hai],
Robust Multi-Graph Contrastive Network for Incomplete Multi-View
Clustering,
MultMed(27), 2025, pp. 2747-2759.
IEEE DOI
2506
Representation learning, Correlation, Kernel, Task analysis,
Clustering methods, Tensors, Noise measurement, representation learning
BibRef
Chen, L.[Liang],
Xue, Z.[Zhe],
Li, Y.W.[Ya-Wen],
Liang, M.[Meiyu],
Wang, Y.[Yan],
van den Hengel, A.J.[Anton J.],
Qi, Y.K.[Yuan-Kai],
Medusa: A Multi-Scale High-order Contrastive Dual-Diffusion Approach
for Multi-View Clustering,
CVPR25(10295-10304)
IEEE DOI
2508
Adaptation models, Clustering methods, Data models,
multi-view clustering, graph diffusion convolution, contrastive learning
BibRef
Kong, Z.[Zisen],
Fu, Z.Q.[Zhi-Qiang],
Chang, D.X.[Dong-Xia],
Wang, Y.M.[Yi-Ming],
Zhao, Y.[Yao],
Dual-space Co-training for Large-scale Multi-view Clustering,
PR(168), 2025, pp. 111844.
Elsevier DOI
2506
Co-training, Multi-view Clustering, Anchor graph learning,
Large-scale clustering, Dual-space
BibRef
Wang, R.[Rui],
Gao, Q.X.[Quan-Xue],
Yang, M.[Ming],
Wang, Q.Q.[Qian-Qian],
Tensorized Tri-Factor Decomposition for Multi-View Clustering,
CirSysVideo(35), No. 6, June 2025, pp. 5355-5366.
IEEE DOI
2506
Matrix decomposition, Tensors, Clustering algorithms,
Clustering methods, Symmetric matrices, tensor Schatten p-norm
BibRef
Long, Z.[Zhen],
Wang, Q.Y.[Qi-Yuan],
Ren, Y.Z.[Ya-Zhou],
Liu, Y.P.[Yi-Peng],
Zhu, C.[Ce],
TLRLF4MVC: Tensor Low-Rank and Low-Frequency for Scalable Multi-View
Clustering,
PAMI(47), No. 8, August 2025, pp. 6900-6911.
IEEE DOI
2507
Tensors, Correlation, Training, Representation learning,
Fast Fourier transforms, Data mining, Computational complexity,
embedding feature learning
BibRef
Wang, B.[Bocheng],
Wang, J.W.[Jia-Wei],
Zeng, C.[Chusheng],
Chen, M.[Mulin],
Locality-driven flexible consensus graph learning for multi-view
clustering,
PR(169), 2026, pp. 111853.
Elsevier DOI
2509
Internal cluster validity index, Noise suppression,
Graph convolutional network, Deep graph learning, Multi-view clustering
BibRef
Gao, H.[Hang],
Liu, C.[Cheng],
Cai, Z.[Zuosong],
Sun, H.M.[Hong-Ming],
Li, G.Y.[Gao-Yang],
Li, Y.[Ying],
Du, W.[Wei],
A Novel Approach for Effective Partially View-Aligned Clustering With
Triple-Consistency,
CirSysVideo(35), No. 10, October 2025, pp. 10250-10263.
IEEE DOI Code:
WWW Link.
2510
Feature extraction, Semantics, Data mining, Contrastive learning,
Representation learning, Noise, Data models, Autoencoders, Vectors,
contrastive learning
BibRef
Wang, P.L.[Peng-Lei],
Wu, D.Y.[Dan-Yang],
Xu, J.[Jin],
Nie, F.P.[Fei-Ping],
Comprehensive Information Extraction With Separable Representation
Learning for Multi-View Clustering,
CirSysVideo(35), No. 11, November 2025, pp. 10679-10692.
IEEE DOI
2511
Representation learning, Information retrieval, Prototypes,
Matrix decomposition, Fuses, Vectors, Learning systems, Estimation,
representation learning
BibRef
Wang, X.X.[Xin-Xin],
Zhang, Y.S.[Yong-Shan],
Zhang, J.[Jie],
Zhou, Y.C.[Yi-Cong],
Incomplete Multiview Clustering Using Discriminative Feature Recovery
and Tensorized Matrix Factorization,
CirSysVideo(35), No. 11, November 2025, pp. 10716-10727.
IEEE DOI
2511
Tensors, Correlation, Imputation, Training, Sparse matrices, Optimization,
Linear programming, Data models, discriminative feature
BibRef
Yu, X.J.[Xue-Jiao],
Chao, G.Q.[Guo-Qing],
Jiang, Y.[Yi],
Ke, G.Z.[Guan-Zhou],
Chu, D.[Dianhui],
Incomplete Multi-View Clustering via Mutual Information,
MultMed(27), 2025, pp. 8095-8105.
IEEE DOI
2511
Mutual information, Data mining, Contrastive learning, Imputation,
Robustness, Feature extraction, Training, Artificial intelligence,
contrastive learning
BibRef
Xiao, X.L.[Xiao-Lin],
Gong, Y.J.[Yue-Jiao],
Zhou, Y.C.[Yi-Cong],
Learning Orthogonal Latent Representations for Multi-View Clustering,
MultMed(27), 2025, pp. 8565-8578.
IEEE DOI
2511
Kernel, Learning systems, Data structures, Representation learning,
Tensors, Matrix decomposition, Deep learning, Data mining,
self-expressiveness
BibRef
Li, X.C.[Xiao-Cui],
Li, G.L.[Guo-Liang],
Zhang, X.Y.[Xin-Yu],
Wen, J.[Jie],
Wu, L.[Lian],
CrossNet-VGA: Variational Collaboration and Graph Attention Fusion
for Incomplete Multi-View Clustering,
IP(34), 2025, pp. 7448-7461.
IEEE DOI Code:
WWW Link.
2511
Semantics, Contrastive learning, Optimization, Robustness,
Lower bound, Feature extraction, Data models, Collaboration,
graph attention fusion
BibRef
Li, Z.L.[Zheng-Lai],
Shi, Y.Q.[Yu-Qi],
He, X.[Xiao],
Tang, C.[Chang],
Mask-Informed Deep Contrastive Incomplete Multi-View Clustering,
CirSysVideo(35), No. 12, December 2025, pp. 11822-11833.
IEEE DOI Code:
WWW Link.
2512
Contrastive learning, Feature extraction, Data mining, Imputation,
Kernel, Representation learning, Semantics, Training, Noise,
contrastive learning
BibRef
Ma, X.L.[Xuan-Long],
She, Y.H.[Yan-Hong],
Xie, F.[Fenfang],
Zhong, G.[Guo],
Error-Resilient incomplete multi-View clustering:
Mitigating imputation-induced error accumulation,
PR(172), 2026, pp. 112477.
Elsevier DOI
2512
Incomplete multi-view clustering, Graph completion, Error accumulation
BibRef
Zeng, Y.P.[Yun-Peng],
Song, P.[Peng],
Yang, B.H.[Bei-Hua],
Wang, C.J.[Chang-Jia],
Du, G.H.[Guang-Hao],
Yu, Y.W.[Yan-Wei],
Zheng, W.M.[Wen-Ming],
Hypergraph regularization-based anchor learning for multi-view
clustering,
PR(172), 2026, pp. 112465.
Elsevier DOI
2512
Anchor graph, Hyper-Laplacian regularization,
Multi-view learning, Schatten -norm
BibRef
Orme, E.S.C.[Ella S.C.],
Rodosthenous, T.[Theodoulos],
Evangelou, M.[Marina],
Multi-view biclustering via non-negative matrix tri-factorisation,
PR(172), 2026, pp. 112454.
Elsevier DOI
2512
Biclustering, Co-clustering, Multi-view,
Non-negative matrix tri-factorisation, Intrinsic
BibRef
Guo, X.X.[Xiao-Xing],
Lu, G.F.[Gui-Fu],
Du, Y.F.[Yang-Fan],
Kan, Y.Z.[Yao-Zu],
Generative views recovery and error-guided topological tensor network
for incomplete multi-view clustering,
PR(172), 2026, pp. 112750.
Elsevier DOI Code:
WWW Link.
2601
Tensor network, Views recovery, Subspace clustering, Error-guide
BibRef
Liu, M.[Meng],
Li, Y.Z.[Yu-Zhe],
Chen, Z.K.[Zhi-Kui],
Lin, Y.L.[Yi-Long],
Information-Driven Complementarity and Consistency Mining for
Multi-View Clustering,
SPLetters(33), 2026, pp. 216-220.
IEEE DOI
2601
Mutual information, Representation learning,
Probability distribution, Data mining, Semantics, Optimization,
invariance-driven consistent partition
BibRef
Zou, Y.[Ying],
Fang, Z.[Zihan],
Du, S.[Shide],
Wu, Y.L.[Yi-Lin],
Zhao, H.[Hong],
Wang, S.P.[Shi-Ping],
Interpretable Multi-View Representation Learning Towards Complex
Scenes: From Homogeneity to Heterogeneity,
MultMed(28), 2026, pp. 614-627.
IEEE DOI
2601
Representation learning, Optimization, Deep learning,
Artificial neural networks, Adaptation models, Semantics,
semi-supervised classification
BibRef
Liu, X.W.[Xin-Wang],
Liang, K.[Ke],
Wang, J.[Jun],
Liu, S.[Suyuan],
Wang, X.K.[Xiang-Ke],
Wang, H.[Huaimin],
Two Decades of Multi-View Clustering: Taxonomy, Application, and
Challenge,
PAMI(48), No. 3, March 2026, pp. 3744-3764.
IEEE DOI
2602
Kernel, Surveys, Tensors, Reviews, Taxonomy, Clustering algorithms,
Optimization, Data models, Adaptation models, feature fusion
BibRef
Xiao, Y.[Yuang],
Tang, C.[Chang],
Zheng, X.[Xiao],
Yan, W.Q.[Wei-Qing],
Liu, Y.Y.[Yuan-Yuan],
Liu, X.W.[Xin-Wang],
Mutual Calibration Network for Multi-View Clustering,
CirSysVideo(36), No. 1, January 2026, pp. 393-405.
IEEE DOI Code:
WWW Link.
2602
Feature extraction, Calibration, Data mining, Contamination,
Training, Contrastive learning, Noise, Clustering algorithms,
centroid space
BibRef
Liu, Y.B.[Yan-Bin],
Gould, S.[Stephen],
Unsupervised Dense Prediction Using Differentiable Normalized Cuts,
ECCV24(XL: 287-304).
Springer DOI
2412
BibRef
Deng, Y.H.[Yang-Hao],
Wang, Z.H.[Zeng-Hui],
Du, S.L.[Song-Lin],
Contrastive Max-correlation for Multi-view Clustering,
ACCV24(I: 371-384).
Springer DOI
2412
BibRef
Black, S.[Samuel],
Souvenir, R.[Richard],
Multi-view Classification Using Hybrid Fusion and Mutual Distillation,
WACV24(269-279)
IEEE DOI Code:
WWW Link.
2404
Adaptation models, Image analysis, Codes, Forensics,
Computational modeling, Algorithms
BibRef
Ding, Z.X.[Zi-Xuan],
Wang, A.[Ao],
Chen, H.[Hui],
Zhang, Q.[Qiang],
Liu, P.Z.[Peng-Zhang],
Bao, Y.J.[Yong-Jun],
Yan, W.P.[Wei-Peng],
Han, J.G.[Jun-Gong],
Exploring Structured Semantic Prior for Multi Label Recognition with
Incomplete Labels,
CVPR23(3398-3407)
IEEE DOI
2309
BibRef
Kim, Y.[Youngwook],
Kim, J.M.[Jae Myung],
Jeong, J.[Jieun],
Schmid, C.[Cordelia],
Akata, Z.[Zeynep],
Lee, J.[Jungwoo],
Bridging the Gap Between Model Explanations in Partially Annotated
Multi-Label Classification,
CVPR23(3408-3417)
IEEE DOI
2309
BibRef
Kobayashi, T.[Takumi],
Two-Way Multi-Label Loss,
CVPR23(7476-7485)
IEEE DOI
2309
BibRef
Zhang, S.[Shu],
Xu, R.[Ran],
Xiong, C.M.[Cai-Ming],
Ramaiah, C.[Chetan],
Use All The Labels: A Hierarchical Multi-Label Contrastive Learning
Framework,
CVPR22(16639-16648)
IEEE DOI
2210
Representation learning, Codes, Speech recognition, Task analysis,
Standards, Representation learning, Recognition: detection,
Transfer/low-shot/long-tail learning
BibRef
Varas, D.,
Alfaro, M.,
Marques, F.,
Multiresolution Hierarchy Co-Clustering for Semantic Segmentation in
Sequences with Small Variations,
ICCV15(4579-4587)
IEEE DOI
1602
Image resolution
BibRef
Nanda, A.,
Pujari, A.K.,
Weighted Co-clustering Based Clustering Ensemble,
NCVPRIPG11(46-49).
IEEE DOI
1205
BibRef
Liu, J.G.[Jin-Gen],
Shah, M.[Mubarak],
Scene Modeling Using Co-Clustering,
ICCV07(1-7).
IEEE DOI
0710
Bag of Visterms (BOV).
Group by similar concept.
BibRef
Irie, G.[Go],
Liu, D.[Dong],
Li, Z.G.[Zhen-Guo],
Chang, S.F.[Shih-Fu],
A Bayesian Approach to Multimodal Visual Dictionary Learning,
CVPR13(329-336)
IEEE DOI
1309
co-clustering; multimodal; visual dictionary
BibRef
Hanmandlu, M.[Madasu],
Susan, S.[Seba],
Madasu, V.K.[Vamsi Krishna],
Lovell, B.C.,
Fuzzy Co-Clustering of medical images using bacterial foraging,
IVCNZ08(1-6).
IEEE DOI
0811
BibRef
Chapter on Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms continues in
Bipartite Graphs for Multi-View Learning .