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MULTI-VIEW LEARNING

Multi-View Learning is a machine learning framework where data are represented by multiple distinct feature groups, and each feature group is referred to as a particular view.

Source: Dissimilarity-based representation for radiomics applications

Papers

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Showing 151–175 of 256 papers

TitleStatusHype
Improving Sentence Representations with Multi-view Frameworks—0
Imputation of missing values in multi-view data—0
Incomplete Multi-view Clustering via Graph Regularized Matrix Factorization—0
Incorporating Deep Visual Features into Multiobjective based Multi-view Search Results Clustering—0
Information Theory-Guided Heuristic Progressive Multi-View Coding—0
Information Theory-Guided Heuristic Progressive Multi-View Coding—0
InSRL: A Multi-view Learning Framework Fusing Multiple Information Sources for Distantly-supervised Relation Extraction—0
Joint Adaptive Neighbours and Metric Learning for Multi-view Subspace Clustering—0
Joint Embedding Learning and Low-Rank Approximation: A Framework for Incomplete Multi-view Learning—0
Jointly Deep Multi-View Learning for Clustering Analysis—0
Latent Heterogeneous Graph Network for Incomplete Multi-View Learning—0
Layer-Wise Multi-View Learning for Neural Machine Translation—0
Learnable Graph Convolutional Network and Feature Fusion for Multi-view Learning—0
Learning Common Representation from RGB and Depth Images—0
Reliable Representations Learning for Incomplete Multi-View Partial Multi-Label Classification—0
Locality Relationship Constrained Multi-view Clustering Framework—0
Mammo-Clustering:A Weakly Supervised Multi-view Global-Local Context Clustering Network for Detection and Classification in Mammography—0
Marine Animal Classification with Correntropy Loss Based Multi-view Learning—0
Masked Two-channel Decoupling Framework for Incomplete Multi-view Weak Multi-label Learning—0
Few-shot Partial Multi-view Learning—0
MEGAN: A Generative Adversarial Network for Multi-View Network Embedding—0
MERIT: Multi-view Evidential learning for Reliable and Interpretable liver fibrosis sTaging—0
MetaViewer: Towards A Unified Multi-View Representation—0
MHCN: A Hyperbolic Neural Network Model for Multi-view Hierarchical Clustering—0
ML-LocNet: Improving Object Localization with Multi-view Learning Network—0
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