14.1.12.1 Multi-View Learning, Co-Clustering

Rosales-Méndez, H.[Henry], Ramírez-Cruz, Y.[Yunior],
A new micro-objects-based evaluation measure for co-clustering algorithms,
PRL(84), No. 1, 2016, pp. 142-148.
Elsevier DOI 1612
Clustering algorithm evaluation BibRef

Ailem, M.[Melissa], Role, F.[François], Nadif, M.[Mohamed],
Model-based co-clustering for the effective handling of sparse data,
PR(72), No. 1, 2017, pp. 108-122.
Elsevier DOI 1708
Mixture, models BibRef

Allab, K.[Kais], Labiod, L.[Lazhar], Nadif, M.[Mohamed],
Multi-manifold matrix decomposition for data co-clustering,
PR(64), No. 1, 2017, pp. 386-398.
Elsevier DOI 1701
BibRef
And: Erratum: PR(69), No. 1, 2017, pp. 352-353.
Elsevier DOI 1706
Co-clustering BibRef

Yao, X., Han, J., Zhang, D., Nie, F.,
Revisiting Co-Saliency Detection: A Novel Approach Based on Two-Stage Multi-View Spectral Rotation Co-clustering,
IP(26), No. 7, July 2017, pp. 3196-3209.
IEEE DOI 1706
Algorithm design and analysis, Benchmark testing, Clustering algorithms, Internet, Object detection, Proposals, Visualization, Co-clustering, multi-class, salient, object, detection BibRef

Chen, X.J.[Xiao-Jun], Yang, M.[Min], Huang, J.Z.[Joshua Zhexue], Ming, Z.[Zhong],
TWCC: Automated Two-way Subspace Weighting Partitional Co-Clustering,
PR(76), No. 1, 2018, pp. 404-415.
Elsevier DOI 1801
Data mining BibRef

Jiang, W.H.[Wen-Hao], Liu, W.[Wei], Chung, F.L.[Fu-Lai],
Knowledge transfer for spectral clustering,
PR(81), 2018, pp. 484-496.
Elsevier DOI 1806
Transfer learning, Spectral clustering, Co-clustering, Multi-task learning BibRef

Ventura, C.[Carles], Varas, D.[David], Vilaplana, V.[Veronica], Giro-i-Nieto, X.[Xavier], Marques, F.[Ferran],
Multiresolution co-clustering for uncalibrated multiview segmentation,
SP:IC(76), 2019, pp. 151-166.
Elsevier DOI 1906
Image segmentation, Object segmentation, Multiview segmentation, Co-clustering techniques BibRef

Hu, S.Z.[Shi-Zhe], Yan, X.Q.[Xiao-Qiang], Ye, Y.D.[Yang-Dong],
Dynamic auto-weighted multi-view co-clustering,
PR(99), 2020, pp. 107101.
Elsevier DOI 1912
Multi-view co-clustering, Information bottleneck, Weighting BibRef

Nie, F.P.[Fei-Ping], Shi, S.J.[Shao-Jun], Li, X.L.[Xue-Long],
Auto-weighted multi-view co-clustering via fast matrix factorization,
PR(102), 2020, pp. 107207.
Elsevier DOI 2003
Co-clustering, Multi-view data, Matrix factorization, Auto-weighted BibRef

Liu, T.H.[Tai-Heng], Deng, X.Q.[Xiu-Qin], He, Z.S.[Zhao-Shui], Long, Y.H.[Yong-Hong],
TCD-CF: Triple cross-domain collaborative filtering recommendation,
PRL(149), 2021, pp. 185-192.
Elsevier DOI 2108
Cross-domain collaborative filtering, Transfer learning, Data sparsity, Co-clustering BibRef

Song, K.[Kun], Yao, X.[Xiwen], Nie, F.P.[Fei-Ping], Li, X.L.[Xue-Long], Xu, M.L.[Ming-Liang],
Weighted bilateral K-means algorithm for fast co-clustering and fast spectral clustering,
PR(109), 2021, pp. 107560.
Elsevier DOI 2009
Fast co-clustering, Clustering, Normalized cuts, Weighted bilateral -means BibRef

Lin, S.Y.[Shu-Yuan], Luo, H.L.[Hai-Ling], Yan, Y.[Yan], Xiao, G.B.[Guo-Bao], Wang, H.Z.[Han-Zi],
Co-Clustering on Bipartite Graphs for Robust Model Fitting,
IP(31), 2022, pp. 6605-6620.
IEEE DOI 2211
Data models, Bipartite graph, Computational modeling, Partitioning algorithms, Clustering methods, Analytical models, multiple-structure data BibRef

Lu, Z.M.[Zhou-Min], Wang, S.P.[Shi-Ping], Liu, G.G.[Geng-Geng], Nie, F.P.[Fei-Ping],
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 BibRef

Sugahara, K.[Kai], Okamoto, K.[Kazushi],
Hierarchical co-clustering with augmented matrices from external domains,
PR(142), 2023, pp. 109657.
Elsevier DOI 2307
Hierarchical co-clustering, Transfer learning, Relational data analysis, Unsupervised machine learning, Mutual information BibRef

Liu, B.Q.[Bing-Qing], Jia, B.B.[Bin-Bin], Zhang, M.L.[Min-Ling],
Towards Enabling Binary Decomposition for Partial Multi-Label Learning,
PAMI(45), No. 11, November 2023, pp. 13203-13217.
IEEE DOI 2310
BibRef

Deng, X.[Xiang], Feng, S.[Songhe], Lyu, G.[Gengyu], Wang, T.[Tao], Lang, C.[Congyan],
Beyond Word Embeddings: Heterogeneous Prior Knowledge Driven Multi-Label Image Classification,
MultMed(25), 2023, pp. 4013-4025.
IEEE DOI 2310
BibRef

Wu, Y.[Yanan], Feng, S.[Songhe], Zhao, G.P.[Gong-Pei], Jin, Y.[Yi],
Transformer Driven Matching Selection Mechanism for Multi-Label Image Classification,
CirSysVideo(34), No. 2, February 2024, pp. 924-937.
IEEE DOI 2402
Transformers, Semantics, Correlation, Image classification, Task analysis, Visualization, Computational modeling, attention mechanism BibRef

You, H.H.[Hai-Hui], Gu, J.T.[Jun-Tao], Jing, W.P.[Wei-Peng],
Multi-Label Remote Sensing Image Land Cover Classification Based on a Multi-Dimensional Attention Mechanism,
RS(15), No. 20, 2023, pp. 4979.
DOI Link 2310
BibRef

Chen, C.[Cheng], Zhao, Y.F.[Yi-Fan], Li, J.[Jia],
Semantic Contrastive Bootstrapping for Single-Positive Multi-label Recognition,
IJCV(131), No. 12, December 2023, pp. 3289-3306.
Springer DOI 2311
BibRef

Liu, Z.M.[Zi-Ming], Guo, S.[Song], Guo, J.[Jingcai], 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], Sun, D.[Dong],
Non-Aligned Multi-View Multi-Label Classification via Learning View-Specific Labels,
MultMed(25), 2023, pp. 7235-7247.
IEEE DOI 2311
BibRef

Wu, Y.[Yanan], Feng, S.[Songhe], Wang, Y.[Yang],
Semantic-Aware Graph Matching Mechanism for Multi-Label Image Recognition,
CirSysVideo(33), No. 11, November 2023, pp. 6788-6803.
IEEE DOI Code:
WWW Link. 2311
BibRef

Qiang, Q.[Qianyao], Zhang, B.[Bin], Wang, F.[Fei], Nie, F.P.[Fei-Ping],
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], Wen, J.[Jie], Xu, Y.[Yong], Huang, C.[Chao],
Localized Sparse Incomplete Multi-View Clustering,
MultMed(25), 2023, pp. 5539-5551.
IEEE DOI 2311
BibRef

Yang, Z.[Zequn], Zhang, H.[Han], Wei, Y.[Yake], Wang, Z.[Zheng], Nie, F.P.[Fei-Ping], Hu, D.[Di],
Geometric-inspired graph-based Incomplete Multi-view Clustering,
PR(147), 2024, pp. 110082.
Elsevier DOI Code:
WWW Link. 2312
Multi-view clustering, Incomplete view, Weight aggregation, Geometric analysis, Graph-based clustering BibRef

Li, L.[Li], Han, Q.H.[Qi-Hong], Li, J.Y.[Jia-Yao], Cui, Z.Q.[Zhan-Qi],
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 BibRef

Shen, Q.Q.[Qiang-Qiang], Chen, Y.Y.[Yong-Yong], Zhang, C.Q.[Chang-Qing], Tian, Y.H.[Yong-Hong], Liang, Y.S.[Yong-Sheng],
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], Ou, W.H.[Wei-Hua], 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

Qin, Y.[Yalan], 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

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

Kobayashi, T.[Takumi],
BFO Meets HOG: Feature Extraction Based on Histograms of Oriented p.d.f. Gradients for Image Classification,
CVPR13(747-754)
IEEE DOI 1309
BibRef
Earlier:
Generalized Mutual Subspace Based Methods for Image Set Classification,
ACCV12(I:578-592).
Springer DOI 1304
BibRef
And:
Higher-order Co-occurrence Features based on Discriminative Co-clusters for Image Classification,
BMVC12(64).
DOI Link 1301
bag of features
See also Motion Recognition Using Local Auto-Correlation of Space-Time Gradients. 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
Multi-Label Classification, Multilabel Classification .