- 2013：A survey on multi-view learning
- 2013：A survey of multi-view machine learning
- 2018：Multi-view clustering: A survey
- Diversity-induced multi-view subspace clustering.
- Consistent and specific multi-view subspace clustering.
- Exclusivity-consistency regularized multi-view subspace clustering.
- Low-rank tensor constrained multiview sub-space clustering.
- Letent multi-view subspace clustering.
- Multi-view subspace clustering
- Convex multi-view subspace learning
- Multi-view subspace constraints on homographies
- Multi-view low-rank sparse subspace clustering
- Generalized latent multi-view subspace clustering
- Robust multi-view subspace learning through dual low-rank decompositions
- Convex subspace representation learning from multi-view data
- Robust subspace clustering for multi-view data by exploiting correlation consensus
- Low-rank common subspace for multi-view learning
- Robust auto-weighted multi-view subspace clustering with common subspace representation matrix
- Robust low-rank kernel multi-view subspace clustering based on the Schatten p-norm and correntropy
- Predictive subspace learning for multi-view data: a large margin approach
- A subspace co-training framework for multi-view clustering
- Multi-view subspace clustering with intactness-aware similarity
- Multi-view subspace clustering via relaxed l1-norm of tensor multi-rank
- Multi-view clustering via pairwise sparse subspace representation
- Manifold regularized multi-view subspace clustering for image representation
- Partial multi-view clustering
- Robust localized multi-view subspace clustering
- Multi-view subspace clustering for face images
- Feature concatenation multi-view subspace clustering 2020
- Split multiplicative multi-view subspace clustering
- Adaptive multi-view subspace clustering for high-dimensional data 2020
- Multi-view subspace clustering via a global low-rank affinity matrix
- Multi-view learning with incomplete views
- Unified subspace learning for incomplete and unlabeled multi-view data
- Incomplete multi-view clustering via subspace learning
多视图 graph-based 缺失：
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Adaptive Sample-Level Graph Combination for Partial Multiview Clustering
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Anchors bring ease-An embarrassingly simple approach to partial multi-view clustering
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Diagnosis of Alzheimer's disease using view-aligned hypergraph learning with incomplete multi-modality data
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Incomplete multi-view clustering via graph regularized matrix factorization(2018ECCV) 文杰主页 [paper] [code]
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Incomplete Multi-view Clustering via Subspace Learning(2015CIKM) [paper] [note]
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Incomplete multi-view clustering(2016 Intelligent Information Processing VIII)
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Incomplete multiview spectral clustering with adaptive graph learning(2020 Cybernetics) (文杰) [Note] [paper] [code]
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Partial multi-view spectral clustering(2018Neurocomputing) [paper]
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Partial multi-view subspace clustering(2018MM Multimedia) [paper]
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Spectral perturbation meets incomplete multi-view data(2019IJCAI) [paper]
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Unified embedding alignment with missing views inferring for incomplete multi-view clustering(2019AAAI) (文杰) [paper] [code]
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Unified subspace learning for incomplete and unlabeled multi-view data(2017 Pattern Recognition) [paper]
多视图 深度方法 缺失：
- Adversarial incomplete multi-view clustering
- CPM-Nets-Cross Partial Multi-View Networks
- Incomplete multi-view clustering via deep semantic mapping
- li2019
- Metric learning on healthcare data with incomplete modalities
- Partial multi-view clustering via consistent GAN
- DIMC-net: Deep Incomplete Multi-view Clustering Network
- COMPLETER: Incomplete Multi-view Clustering via Contrastive Prediction
- iCmSC: Incomplete Cross-Modal Subspace Clustering [paper] [code]
- Adversarial Incomplete Multi-view Clustering
- Partial Multi-view Clustering via Consistent GAN [paper] [code]
多视图 核方法缺失：
- Clustering on multiple incomplete datasets via collective kernel learning
- Efficient and Effective Regularized Incomplete Multi-view Clustering
- Kernel transfer over multiple views for missing data completion
- Late Fusion Incomplete Multi-View Clustering
- Localized Incomplete Multiple Kernel k-means
- Multiple kernel k-means with incomplete kernels
- Multiview clustering with incomplete views
- Multi-view kernel completion
多视图 高阶张量分解 缺失：
- Clustering on multi-source incomplete data via tensor modeling and factorization
多视图 NMF分解 缺失：
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Doubly Aligned Incomplete Multi-view Clustering
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Fundamental sampling patterns for low-rank multi-view data completion
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Incomplete multi-modal visual data grouping
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Infant Brain Development Prediction With Latent Partial Multi-View Representation Learning
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Joint Embedding Learning and Low-Rank Approximation-A Framework for Incomplete Multiview Learning
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Low-rank multi-view learning in matrix completion for multi-label image classification
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Multiple incomplete views clustering via non-negative matrix factorization with its application in Alzheimer's disease analysis
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Multiple Incomplete Views Clustering via Weighted Nonnegative Matrix Factorization with L_{2,1} Regularization (2015 ECML/PKDD) [paper]
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Multi-view cluster analysis with incomplete data to understand treatment effects
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Multi-view clustering with constraint propagation for learning with an incomplete mapping between views
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Multi-View Learning With Incomplete Views
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Multi-view missing data completion
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One-Pass Incomplete Multi-View Clustering [paper]
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Online multi-view clustering with incomplete views
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Partial multi-view clustering using graph regularized NMF
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Partial multi-view clustering
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Partial multi-view outlier detection based on collective learning
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Partially tagged image clustering
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Simultaneous representation learning and clustering for incomplete multi-view data
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Unsupervised maximum margin incomplete multi-view clustering
多视图弱标签缺失：
- Incomplete multi-view weak-label learning
- Multi-view weak-label learning based on matrix completion
高斯过程多视图缺失：
- Shared Gaussian Process Latent Variable Model for Incomplete Multiview Clustering
- The EM algorithm for kernel matrix completion with auxiliary data