Imputation-free and Alignment-free: Incomplete Multi-view Clustering Driven by Consensus Semantic Learning | Paper Citation Record

Observation 86c8a39c-c9a8-4a72-a2f3-e2dffedaa35c · outbound

This paper cites Maximizing Modularity is hard.

Imputation-free and Alignment-free: Incomplete Multi-view Clustering Driven by Consensus Semantic Learning Maximizing Modularity is hard

Reference 1

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This paper cites Unsupervised learning of visual features by contrasting cluster assignments.Ad- vances in neural information processing systems, 33:9912– 9924, 2020.

Imputation-free and Alignment-free: Incomplete Multi-view Clustering Driven by Consensus Semantic Learning Unsupervised learning of visual features by contrasting cluster assignments.Ad- vances in neural information processing systems, 33:9912– 9924, 2020

Reference 2

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Observation f4851247-7d9c-40b0-b06c-6975af0ead0f · outbound

This paper cites Incomplete con- trastive multi-view clustering with high-confidence guiding.

Imputation-free and Alignment-free: Incomplete Multi-view Clustering Driven by Consensus Semantic Learning Incomplete con- trastive multi-view clustering with high-confidence guiding

Reference 3

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Observation f5d13083-848c-45e0-bf26-1d958db2d343 · outbound

This paper cites A simple framework for contrastive learning of visual representations.

Imputation-free and Alignment-free: Incomplete Multi-view Clustering Driven by Consensus Semantic Learning A simple framework for contrastive learning of visual representations

Reference 4

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Observation 45e5f412-4fe9-4622-9e63-c9bc2e5a62f9 · outbound

This paper cites A novel ap- proach for effective multi-view clustering with information- theoretic perspective.Advances in Neural Information Pro- cessing Systems, 36, 2024.

Imputation-free and Alignment-free: Incomplete Multi-view Clustering Driven by Consensus Semantic Learning A novel ap- proach for effective multi-view clustering with information- theoretic perspective.Advances in Neural Information Pro- cessing Systems, 36, 2024

Reference 5

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Observation de9d092e-f05d-4135-a572-9ddde8a50fd3 · outbound

This paper cites Subgraph propagation and con- trastive calibration for incomplete multiview data clustering.

Imputation-free and Alignment-free: Incomplete Multi-view Clustering Driven by Consensus Semantic Learning Subgraph propagation and con- trastive calibration for incomplete multiview data clustering

Reference 6

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Observation 6329ff2e-341d-432c-bf13-e154d27d769d · outbound

This paper cites Deep multiple auto-encoder-based multi-view clus- tering.Data Science and Engineering, 6(3):323–338, 2021.

Imputation-free and Alignment-free: Incomplete Multi-view Clustering Driven by Consensus Semantic Learning Deep multiple auto-encoder-based multi-view clus- tering.Data Science and Engineering, 6(3):323–338, 2021

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:01:46.543431Z

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Observation 719b568f-90a0-4199-b3ed-abe0c0e42f43 · outbound

This paper cites A comprehensive survey on multi-view clustering.IEEE Transactions on Knowledge and Data En- gineering, 35(12):12350–12368, 2023.

Imputation-free and Alignment-free: Incomplete Multi-view Clustering Driven by Consensus Semantic Learning A comprehensive survey on multi-view clustering.IEEE Transactions on Knowledge and Data En- gineering, 35(12):12350–12368, 2023

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:01:46.529538Z

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Observation ffff2de1-20db-4003-a958-07eda7abe3c8 · outbound

This paper cites Partial multi-view clustering via self-supervised network.

Imputation-free and Alignment-free: Incomplete Multi-view Clustering Driven by Consensus Semantic Learning Partial multi-view clustering via self-supervised network

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:01:46.515110Z

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Observation b3396150-ea6b-4e14-bc8f-c6c5ada1b86e · outbound

This paper cites Robust contrastive multi-view clustering against dual noisy correspondence.Advances in Neural Information Pro- cessing Systems, 37:121401–121421, 2024.

Imputation-free and Alignment-free: Incomplete Multi-view Clustering Driven by Consensus Semantic Learning Robust contrastive multi-view clustering against dual noisy correspondence.Advances in Neural Information Pro- cessing Systems, 37:121401–121421, 2024

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:01:46.500135Z

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Observation 46a8347f-d90f-4eb5-b908-63e6672d4ea2 · outbound

This paper cites Robust variational contrastive learning for partially view- unaligned clustering.

Imputation-free and Alignment-free: Incomplete Multi-view Clustering Driven by Consensus Semantic Learning Robust variational contrastive learning for partially view- unaligned clustering

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:01:46.486150Z

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Observation ebd64166-db44-4870-88c7-a9dbdbe090bc · outbound

This paper cites Momentum contrast for unsupervised visual rep- resentation learning.

Imputation-free and Alignment-free: Incomplete Multi-view Clustering Driven by Consensus Semantic Learning Momentum contrast for unsupervised visual rep- resentation learning

Reference 12

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Observation 92f36d57-30d8-4474-9a64-210df0c84b57 · outbound

This paper cites Sharable and in- dividual multi-view metric learning.IEEE transactions on pattern analysis and machine intelligence, 40(9):2281–2288,.

Imputation-free and Alignment-free: Incomplete Multi-view Clustering Driven by Consensus Semantic Learning Sharable and in- dividual multi-view metric learning.IEEE transactions on pattern analysis and machine intelligence, 40(9):2281–2288,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:01:46.461629Z

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Observation ca152277-1dde-4bac-8848-8301485cfef0 · outbound

This paper cites Deep supervised multi-view learning with graph priors.IEEE Transactions on Image Pro- cessing, 33:123–133, 2023.

Imputation-free and Alignment-free: Incomplete Multi-view Clustering Driven by Consensus Semantic Learning Deep supervised multi-view learning with graph priors.IEEE Transactions on Image Pro- cessing, 33:123–133, 2023

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:01:46.446922Z

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Observation 74c29cb2-595f-483e-ba35-42260aeda725 · outbound

This paper cites Fast multi-view clustering via ensembles: Towards scalability, su- periority, and simplicity.IEEE Transactions on Knowledge and Data Engineering, 35(11):11388–11402, 2023.

Imputation-free and Alignment-free: Incomplete Multi-view Clustering Driven by Consensus Semantic Learning Fast multi-view clustering via ensembles: Towards scalability, su- periority, and simplicity.IEEE Transactions on Knowledge and Data Engineering, 35(11):11388–11402, 2023

Reference 15

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Observation d1a18c22-cf45-43e2-b3a0-9b8132c6133d · outbound

This paper cites Deep se- mantic clustering by partition confidence maximisation.

Imputation-free and Alignment-free: Incomplete Multi-view Clustering Driven by Consensus Semantic Learning Deep se- mantic clustering by partition confidence maximisation

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:01:46.416181Z

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Observation 6ef1b274-54dd-4040-99fe-c6f774389a90 · outbound

This paper cites Multi-view spec- tral clustering network.

Imputation-free and Alignment-free: Incomplete Multi-view Clustering Driven by Consensus Semantic Learning Multi-view spec- tral clustering network

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:01:46.400399Z

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Observation d0c8a5c0-abe5-45c2-a39e-410ae192d7d8 · outbound

This paper cites Partially view-aligned clustering.Advances in Neural Information Processing Systems, 33:2892–2902,.

Imputation-free and Alignment-free: Incomplete Multi-view Clustering Driven by Consensus Semantic Learning Partially view-aligned clustering.Advances in Neural Information Processing Systems, 33:2892–2902,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:01:46.385241Z

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Observation 54cd4965-b5f7-461f-88c3-fb2ae2dd54b4 · outbound

This paper cites A decoder-free variational deep embedding for unsu- pervised clustering.IEEE Transactions on Neural Networks and Learning Systems, 33(10):5681–5693, 2021.

Imputation-free and Alignment-free: Incomplete Multi-view Clustering Driven by Consensus Semantic Learning A decoder-free variational deep embedding for unsu- pervised clustering.IEEE Transactions on Neural Networks and Learning Systems, 33(10):5681–5693, 2021

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:01:46.369758Z

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Observation 87b6f9f5-ba92-481b-8b19-2564da72b0a8 · outbound

This paper cites Dm2c: Deep mixed-modal clus- tering.Advances in Neural Information Processing Systems, 32, 2019.

Imputation-free and Alignment-free: Incomplete Multi-view Clustering Driven by Consensus Semantic Learning Dm2c: Deep mixed-modal clus- tering.Advances in Neural Information Processing Systems, 32, 2019

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:01:46.353809Z

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Observation 7f3b209f-26e7-40f0-ba19-1daa009eea0a · outbound

This paper cites Deep incomplete multi-view clustering with cross-view partial sample and prototype alignment.

Imputation-free and Alignment-free: Incomplete Multi-view Clustering Driven by Consensus Semantic Learning Deep incomplete multi-view clustering with cross-view partial sample and prototype alignment

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:01:46.338624Z

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Observation e1f8bc34-02b0-446c-9b11-54b26fb00abd · outbound

This paper cites Rethinking multi-view representation learning via distilled disentangling.

Imputation-free and Alignment-free: Incomplete Multi-view Clustering Driven by Consensus Semantic Learning Rethinking multi-view representation learning via distilled disentangling

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Observation 7f22acfa-51a8-48a8-ae68-536173044ea2 · outbound

This paper cites An efficient heuristic pro- cedure for partitioning graphs.The Bell system technical journal, 49(2):291–307, 1970.

Imputation-free and Alignment-free: Incomplete Multi-view Clustering Driven by Consensus Semantic Learning An efficient heuristic pro- cedure for partitioning graphs.The Bell system technical journal, 49(2):291–307, 1970

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:01:46.312224Z

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Observation f311868a-3efb-43ed-8cff-509dd9332dd7 · outbound

This paper cites Incomplete Multi-view Clustering via Prototype-based Imputation.

Imputation-free and Alignment-free: Incomplete Multi-view Clustering Driven by Consensus Semantic Learning Incomplete Multi-view Clustering via Prototype-based Imputation

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Observation 94e63780-7a1a-4214-b5d6-6ff8f86ad5cd · outbound

This paper cites Cross-view graph matching guided anchor align- ment for incomplete multi-view clustering.Information Fu- sion, 100:101941, 2023.

Imputation-free and Alignment-free: Incomplete Multi-view Clustering Driven by Consensus Semantic Learning Cross-view graph matching guided anchor align- ment for incomplete multi-view clustering.Information Fu- sion, 100:101941, 2023

Reference 25

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Observation 3c59d7d7-923a-4263-9d6f-2ef6e17701bf · outbound

This paper cites A survey of multi-view representation learning.IEEE transactions on knowledge and data engineering, 31(10):1863–1883, 2018.

Imputation-free and Alignment-free: Incomplete Multi-view Clustering Driven by Consensus Semantic Learning A survey of multi-view representation learning.IEEE transactions on knowledge and data engineering, 31(10):1863–1883, 2018

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Observation 8fb5e6c6-0b56-4e5b-b479-fdd797c92779 · outbound

This paper cites Contrastive clustering.

Imputation-free and Alignment-free: Incomplete Multi-view Clustering Driven by Consensus Semantic Learning Contrastive clustering

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:01:46.272017Z

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Observation 1c6417e3-be6f-4e69-ab27-d80508706fb6 · outbound

This paper cites Twin contrastive learning for online clustering.International Journal of Computer Vision, 130 (9):2205–2221, 2022.

Imputation-free and Alignment-free: Incomplete Multi-view Clustering Driven by Consensus Semantic Learning Twin contrastive learning for online clustering.International Journal of Computer Vision, 130 (9):2205–2221, 2022

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:01:46.257400Z

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Observation 3615fe28-532d-49c1-bcd6-674f5f8e1d8f · outbound

This paper cites Completer: Incomplete multi-view clustering via contrastive prediction.

Imputation-free and Alignment-free: Incomplete Multi-view Clustering Driven by Consensus Semantic Learning Completer: Incomplete multi-view clustering via contrastive prediction

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:01:46.126373Z

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Observation 6ce12a9f-7a0f-43b1-9463-43584cc563d1 · outbound

This paper cites Dual contrastive prediction for incomplete multi-view representation learning.IEEE Trans- actions on Pattern Analysis and Machine Intelligence, 45(4): 4447–4461, 2022.

Imputation-free and Alignment-free: Incomplete Multi-view Clustering Driven by Consensus Semantic Learning Dual contrastive prediction for incomplete multi-view representation learning.IEEE Trans- actions on Pattern Analysis and Machine Intelligence, 45(4): 4447–4461, 2022

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:01:46.111262Z

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Observation e449d70d-c820-495e-af64-81507e5c1691 · outbound

This paper cites Effi- cient token-guided image-text retrieval with consistent mul- timodal contrastive training.IEEE Transactions on Image Processing, 32:3622–3633, 2023.

Imputation-free and Alignment-free: Incomplete Multi-view Clustering Driven by Consensus Semantic Learning Effi- cient token-guided image-text retrieval with consistent mul- timodal contrastive training.IEEE Transactions on Image Processing, 32:3622–3633, 2023

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Observation 15c296f3-0c28-4cbb-985b-d469904fd810 · outbound

This paper cites Late fusion incomplete multi-view clustering.

Imputation-free and Alignment-free: Incomplete Multi-view Clustering Driven by Consensus Semantic Learning Late fusion incomplete multi-view clustering

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Observation 6f093bc5-fd85-4c8e-86fa-56c5897dea56 · outbound

This paper cites A survey on deep clustering: from the prior perspective.Vici- nagearth, 1(1):4, 2024.

Imputation-free and Alignment-free: Incomplete Multi-view Clustering Driven by Consensus Semantic Learning A survey on deep clustering: from the prior perspective.Vici- nagearth, 1(1):4, 2024

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:01:46.065210Z

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Observation b58e5af0-9b89-48c2-bba7-e2d1c18012a9 · outbound

This paper cites Decoupled contrastive multi-view cluster- ing with high-order random walks.

Imputation-free and Alignment-free: Incomplete Multi-view Clustering Driven by Consensus Semantic Learning Decoupled contrastive multi-view cluster- ing with high-order random walks

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:01:46.048987Z

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Observation 1bd2ba01-db57-41d0-afe6-0aab79d49356 · outbound

This paper cites Modularity and community structure in networks.Proceedings of the national academy of sciences, 103(23):8577–8582, 2006.

Imputation-free and Alignment-free: Incomplete Multi-view Clustering Driven by Consensus Semantic Learning Modularity and community structure in networks.Proceedings of the national academy of sciences, 103(23):8577–8582, 2006

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:01:46.034201Z

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Observation 75fd1922-e087-4d81-991c-7c28bef43700 · outbound

This paper cites Adap- tive feature imputation with latent graph for deep incomplete multi-view clustering.

Imputation-free and Alignment-free: Incomplete Multi-view Clustering Driven by Consensus Semantic Learning Adap- tive feature imputation with latent graph for deep incomplete multi-view clustering

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:01:46.017856Z

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Observation 7d9c9497-d71e-439a-b9f8-f5ac5607918b · outbound

This paper cites You never cluster alone.Advances in Neural Information Processing Systems, 34:27734–27746,.

Imputation-free and Alignment-free: Incomplete Multi-view Clustering Driven by Consensus Semantic Learning You never cluster alone.Advances in Neural Information Processing Systems, 34:27734–27746,

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:01:46.002144Z

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Observation acf3db3a-4201-4edc-b34a-13f8eada51dd · outbound

This paper cites Robust multi-view clustering with noisy cor- respondence.IEEE Transactions on Knowledge and Data Engineering, 2024.

Imputation-free and Alignment-free: Incomplete Multi-view Clustering Driven by Consensus Semantic Learning Robust multi-view clustering with noisy cor- respondence.IEEE Transactions on Knowledge and Data Engineering, 2024

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:01:45.988078Z

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Observation dd187052-2113-4eaa-8e35-995c0ff8e10c · outbound

This paper cites Deep safe multi-view cluster- ing: Reducing the risk of clustering performance degradation caused by view increase.

Imputation-free and Alignment-free: Incomplete Multi-view Clustering Driven by Consensus Semantic Learning Deep safe multi-view cluster- ing: Reducing the risk of clustering performance degradation caused by view increase

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:01:45.973787Z

Source-reported events for the cited work

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Observation c836ed48-9edc-402d-af2b-2584e42b41dd · outbound

This paper cites Incomplete multi-view learning: Review, analysis, and prospects.Applied Soft Computing, page 111278, 2024.

Imputation-free and Alignment-free: Incomplete Multi-view Clustering Driven by Consensus Semantic Learning Incomplete multi-view learning: Review, analysis, and prospects.Applied Soft Computing, page 111278, 2024

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:01:45.958980Z

Source-reported events for the cited work

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Observation 1441c5b9-86f8-484c-b18e-c2291185ed33 · outbound

This paper cites One-step multi- view clustering with diverse representation.IEEE Transac- tions on Neural Networks and Learning Systems, pages 1– 13, 2024.

Imputation-free and Alignment-free: Incomplete Multi-view Clustering Driven by Consensus Semantic Learning One-step multi- view clustering with diverse representation.IEEE Transac- tions on Neural Networks and Learning Systems, pages 1– 13, 2024

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:01:45.944454Z

Source-reported events for the cited work

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Observation c0dd9826-531d-4737-b92c-ee6c87908847 · outbound

This paper cites Fast continual multi-view clustering with incomplete views.IEEE Transactions on Image Processing, 33:2995–3008, 2024.

Imputation-free and Alignment-free: Incomplete Multi-view Clustering Driven by Consensus Semantic Learning Fast continual multi-view clustering with incomplete views.IEEE Transactions on Image Processing, 33:2995–3008, 2024

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Observation 2d715a48-71ac-479c-be32-7b766826e6c6 · outbound

This paper cites Cline: Contrastive learning with semantic negative examples for natural language understanding.

Imputation-free and Alignment-free: Incomplete Multi-view Clustering Driven by Consensus Semantic Learning Cline: Contrastive learning with semantic negative examples for natural language understanding

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:01:45.918598Z

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Observation 3bc13b1b-38f6-4a22-a744-647f6a998a8e · outbound

This paper cites Rethinking minimal sufficient representation in contrastive learning.

Imputation-free and Alignment-free: Incomplete Multi-view Clustering Driven by Consensus Semantic Learning Rethinking minimal sufficient representation in contrastive learning

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:01:45.903771Z

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Observation 1b9e170e-fadf-4dca-8a0b-c11a356197d8 · outbound

This paper cites Generative partial multi-view clustering with adaptive fusion and cycle consistency.IEEE Transac- tions on Image Processing, 30:1771–1783, 2021.

Imputation-free and Alignment-free: Incomplete Multi-view Clustering Driven by Consensus Semantic Learning Generative partial multi-view clustering with adaptive fusion and cycle consistency.IEEE Transac- tions on Image Processing, 30:1771–1783, 2021

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:01:45.888055Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 27c12a90-69ba-46f9-9ab1-20e883c3084b · outbound

This paper cites Align then fusion: General- ized large-scale multi-view clustering with anchor matching correspondences.Advances in Neural Information Process- ing Systems, 35:5882–5895, 2022.

Imputation-free and Alignment-free: Incomplete Multi-view Clustering Driven by Consensus Semantic Learning Align then fusion: General- ized large-scale multi-view clustering with anchor matching correspondences.Advances in Neural Information Process- ing Systems, 35:5882–5895, 2022

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:01:45.871506Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation e0d062a0-f192-4c7a-bcd8-6a6c02d8dff0 · outbound

This paper cites Incomplete multi-view clustering via cross-view relation transfer.IEEE Transactions on Circuits and Systems for Video Technology, 2022.

Imputation-free and Alignment-free: Incomplete Multi-view Clustering Driven by Consensus Semantic Learning Incomplete multi-view clustering via cross-view relation transfer.IEEE Transactions on Circuits and Systems for Video Technology, 2022

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:01:45.856980Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation ca1fb807-8ac1-472a-9342-c549dd7bee9b · outbound

This paper cites Deep incomplete multi-view multiple clusterings.

Imputation-free and Alignment-free: Incomplete Multi-view Clustering Driven by Consensus Semantic Learning Deep incomplete multi-view multiple clusterings

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-15T21:01:45.237450Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e664b151-6874-4779-8144-abb010f70c4b · outbound

This paper cites Unsupervised feature learning via non-parametric instance discrimination.

Imputation-free and Alignment-free: Incomplete Multi-view Clustering Driven by Consensus Semantic Learning Unsupervised feature learning via non-parametric instance discrimination

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-15T21:01:45.241904Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation de3548cb-147d-4ed1-8cac-e9751c1fe052 · outbound

This paper cites Detco: Unsuper- vised contrastive learning for object detection.

Imputation-free and Alignment-free: Incomplete Multi-view Clustering Driven by Consensus Semantic Learning Detco: Unsuper- vised contrastive learning for object detection

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:01:45.823397Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 8322b61e-ca84-41f6-a2ff-e487dd649c29 · outbound

This paper cites Unsupervised deep embedding for clustering analysis.

Imputation-free and Alignment-free: Incomplete Multi-view Clustering Driven by Consensus Semantic Learning Unsupervised deep embedding for clustering analysis

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:01:45.808808Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation fa56c259-8b46-432b-ace3-da33a9675ee1 · outbound

This paper cites Adversarial incomplete multi-view cluster- ing.

Imputation-free and Alignment-free: Incomplete Multi-view Clustering Driven by Consensus Semantic Learning Adversarial incomplete multi-view cluster- ing

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:01:45.794172Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 4c590064-8097-4a53-b65a-492c4321dd14 · outbound

This paper cites Deep incomplete multi- view clustering via mining cluster complementarity.

Imputation-free and Alignment-free: Incomplete Multi-view Clustering Driven by Consensus Semantic Learning Deep incomplete multi- view clustering via mining cluster complementarity

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:01:45.779455Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation f06dd289-82d6-4542-951b-25e98283975e · outbound

This paper cites Multi-level feature learning for contrastive multi-view clustering.

Imputation-free and Alignment-free: Incomplete Multi-view Clustering Driven by Consensus Semantic Learning Multi-level feature learning for contrastive multi-view clustering

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:01:45.764082Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 2472798c-157a-4298-9249-eacb193b4703 · outbound

This paper cites Adaptive feature projec- tion with distribution alignment for deep incomplete multi- view clustering.IEEE Transactions on Image Processing, 32:1354–1366, 2023.

Imputation-free and Alignment-free: Incomplete Multi-view Clustering Driven by Consensus Semantic Learning Adaptive feature projec- tion with distribution alignment for deep incomplete multi- view clustering.IEEE Transactions on Image Processing, 32:1354–1366, 2023

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:01:45.748483Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 13dcce1e-906d-4dd9-8251-a76ebdc8e937 · outbound

This paper cites Cmclrec: Cross-modal contrastive learning for user cold-start sequential recommendation.

Imputation-free and Alignment-free: Incomplete Multi-view Clustering Driven by Consensus Semantic Learning Cmclrec: Cross-modal contrastive learning for user cold-start sequential recommendation

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:01:45.732810Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 4f24d399-bd69-408e-8e0b-8e79afd7174e · outbound

This paper cites Differentiable information bottleneck for deterministic multi-view clustering.

Imputation-free and Alignment-free: Incomplete Multi-view Clustering Driven by Consensus Semantic Learning Differentiable information bottleneck for deterministic multi-view clustering

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:01:45.718289Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation ca6fa7a6-b83f-4a0b-927a-cd50e297dc73 · outbound

This paper cites Deep cluster- ing analysis via dual variational autoencoder with spherical latent embeddings.IEEE Transactions on Neural Networks and Learning Systems, 34(9):6303–6312, 2021.

Imputation-free and Alignment-free: Incomplete Multi-view Clustering Driven by Consensus Semantic Learning Deep cluster- ing analysis via dual variational autoencoder with spherical latent embeddings.IEEE Transactions on Neural Networks and Learning Systems, 34(9):6303–6312, 2021

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:01:45.703279Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation bfd6e59d-f51c-4028-85d6-0fa39be50255 · outbound

This paper cites Partially view-aligned representation learn- ing with noise-robust contrastive loss.

Imputation-free and Alignment-free: Incomplete Multi-view Clustering Driven by Consensus Semantic Learning Partially view-aligned representation learn- ing with noise-robust contrastive loss

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:01:45.688656Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 5eb241db-8dda-4dd8-8fde-b499b0f32c8e · outbound

This paper cites Robust multi-view clustering with incom- plete information.IEEE Transactions on Pattern Analysis and Machine Intelligence, 45(1):1055–1069, 2022.

Imputation-free and Alignment-free: Incomplete Multi-view Clustering Driven by Consensus Semantic Learning Robust multi-view clustering with incom- plete information.IEEE Transactions on Pattern Analysis and Machine Intelligence, 45(1):1055–1069, 2022

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:01:45.674976Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 5f0b16eb-5e2f-4f57-a9b5-c384242972ed · outbound

This paper cites Robust multi-view clustering with incom- plete information.IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022.

Imputation-free and Alignment-free: Incomplete Multi-view Clustering Driven by Consensus Semantic Learning Robust multi-view clustering with incom- plete information.IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:01:45.660644Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 2b2fbbd6-0e32-445f-80bf-955a489d09f3 · outbound

This paper cites Sparse low- rank multi-view subspace clustering with consensus anchors and unified bipartite graph.IEEE Transactions on Neural Networks and Learning Systems, 2023.

Imputation-free and Alignment-free: Incomplete Multi-view Clustering Driven by Consensus Semantic Learning Sparse low- rank multi-view subspace clustering with consensus anchors and unified bipartite graph.IEEE Transactions on Neural Networks and Learning Systems, 2023

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:01:45.646895Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 0bdc6f1a-c95d-45c5-8367-000df6fe54ae · outbound

This paper cites A non- parametric graph clustering framework for multi-view data.

Imputation-free and Alignment-free: Incomplete Multi-view Clustering Driven by Consensus Semantic Learning A non- parametric graph clustering framework for multi-view data

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:01:45.631843Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 6e9097e9-9f1c-4d2d-b9c8-45a0e433782d · outbound

This paper cites Semantic invariant multi- view clustering with fully incomplete information.IEEE Transactions on Pattern Analysis and Machine Intelligence, 46(4):2139–2150, 2023.

Imputation-free and Alignment-free: Incomplete Multi-view Clustering Driven by Consensus Semantic Learning Semantic invariant multi- view clustering with fully incomplete information.IEEE Transactions on Pattern Analysis and Machine Intelligence, 46(4):2139–2150, 2023

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:01:45.617075Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 45f933c9-a231-4395-9c38-2b9b2aec38a0 · outbound

This paper cites Deep partial multi-view learning.IEEE transactions on pattern analysis and machine intelligence, 44(5):2402–2415, 2020.

Imputation-free and Alignment-free: Incomplete Multi-view Clustering Driven by Consensus Semantic Learning Deep partial multi-view learning.IEEE transactions on pattern analysis and machine intelligence, 44(5):2402–2415, 2020

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:01:45.602128Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 411797cd-14c9-4727-b2d0-7e56711d4d55 · outbound

This paper cites One-stage incomplete multi-view clustering via late fusion.

Imputation-free and Alignment-free: Incomplete Multi-view Clustering Driven by Consensus Semantic Learning One-stage incomplete multi-view clustering via late fusion

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:01:45.588128Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation d0dbb1c8-01ed-4a44-84a9-173a0cd46869 · outbound

This paper cites Regularized in- stance weighting multiview clustering via late fusion align- ment.IEEE Transactions on Neural Networks and Learning Systems, 2024.

Imputation-free and Alignment-free: Incomplete Multi-view Clustering Driven by Consensus Semantic Learning Regularized in- stance weighting multiview clustering via late fusion align- ment.IEEE Transactions on Neural Networks and Learning Systems, 2024

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:01:45.573930Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 65542670-fb23-4780-869a-b62e7e591674 · outbound

This paper cites Deep Robust Clustering by Contrastive Learning.

Imputation-free and Alignment-free: Incomplete Multi-view Clustering Driven by Consensus Semantic Learning Deep Robust Clustering by Contrastive Learning

Reference 69

Resolution: verified exact; local_arxiv, observed 2026-08-15T21:01:45.425166Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation c27948ed-71aa-445f-a7b1-872c93f542b2 · outbound

This paper cites A survey and an empirical evaluation of multi- view clustering approaches.ACM Computing Surveys, 56 (7):1–38, 2024.

Imputation-free and Alignment-free: Incomplete Multi-view Clustering Driven by Consensus Semantic Learning A survey and an empirical evaluation of multi- view clustering approaches.ACM Computing Surveys, 56 (7):1–38, 2024

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:01:45.559882Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 642e242b-a51e-401d-a5d2-b2b248e60979 · outbound

This paper cites Multi-view Deep Subspace Clustering Networks.

Imputation-free and Alignment-free: Incomplete Multi-view Clustering Driven by Consensus Semantic Learning Multi-view Deep Subspace Clustering Networks

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-15T21:01:45.339009Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bd84a161-9600-4663-a8d5-58161d503f64 · outbound

This paper cites an unresolved cited work.

Imputation-free and Alignment-free: Incomplete Multi-view Clustering Driven by Consensus Semantic Learning Unresolved cited work

Reference 72

Resolution: unresolved; raw_fallback, observed 2026-08-15T21:01:45.544959Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation c595cb52-2afd-4b9c-8d3d-79db787ca4a9 · outbound

This paper cites DIVIDE [34] utilizes an anchor-based approach to identify out-of-domain samples through high- order random walks to mitigate the issue of false negatives.

Imputation-free and Alignment-free: Incomplete Multi-view Clustering Driven by Consensus Semantic Learning DIVIDE [34] utilizes an anchor-based approach to identify out-of-domain samples through high- order random walks to mitigate the issue of false negatives

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:01:45.530332Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation c79a0225-3075-441b-8884-6eb17af38dd8 · outbound

This paper cites an unresolved cited work.

Imputation-free and Alignment-free: Incomplete Multi-view Clustering Driven by Consensus Semantic Learning Unresolved cited work

Reference 74

Resolution: unresolved; raw_fallback, observed 2026-08-15T21:01:45.515611Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation fc80a6e0-8a07-4d81-8b4b-8398a75bf943 · outbound

This paper cites Although they successfully apply view-specific information in impu- tation, they lose the cluster structure information within the missing views.

Imputation-free and Alignment-free: Incomplete Multi-view Clustering Driven by Consensus Semantic Learning Although they successfully apply view-specific information in impu- tation, they lose the cluster structure information within the missing views

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:01:45.499943Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation e39c1f3e-93d1-4cc6-9311-5ec05acfa080 · outbound

This paper cites an unresolved cited work.

Imputation-free and Alignment-free: Incomplete Multi-view Clustering Driven by Consensus Semantic Learning Unresolved cited work

Reference 76

Resolution: unresolved; raw_fallback, observed 2026-08-15T21:01:45.485167Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 650cf0c6-65e4-4ab8-b485-88d99ddad160 · outbound

This paper cites an unresolved cited work.

Imputation-free and Alignment-free: Incomplete Multi-view Clustering Driven by Consensus Semantic Learning Unresolved cited work

Reference 77

Resolution: malformed identifier; raw_fallback, observed 2026-08-15T21:01:45.469562Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Reference resolution

Outbound references

Pith citing papers