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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

Showing 2130 of 256 papers

TitleStatusHype
COMPLETER: Incomplete Multi-view Clustering via Contrastive PredictionCode1
Trusted Multi-View ClassificationCode1
Co-mining: Self-Supervised Learning for Sparsely Annotated Object DetectionCode1
Deep Tensor CCA for Multi-view LearningCode1
SleepPoseNet: Multi-View Learning for Sleep Postural Transition Recognition Using UWBCode1
Learning Autoencoders with Relational RegularizationCode1
Dual Adversarial Domain AdaptationCode1
CPM-Nets: Cross Partial Multi-View NetworksCode1
Deep Multi-View Learning via Task-Optimal CCACode1
Tensor Canonical Correlation Analysis for Multi-view Dimension ReductionCode1
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