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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 121–130 of 256 papers

TitleStatusHype
Locality Relationship Constrained Multi-view Clustering Framework—0
A unified framework based on graph consensus term for multi-view learning—0
ASM2TV: An Adaptive Semi-Supervised Multi-Task Multi-View Learning Framework for Human Activity RecognitionCode0
A Comparison of Multi-View Learning Strategies for Satellite Image-Based Real Estate Appraisal—0
Few-shot Partial Multi-view Learning—0
Weak Multi-View Supervision for Surface Mapping Estimation—0
Federated Multi-View Learning for Private Medical Data Integration and Analysis—0
Text-to-Text Multi-view Learning for Passage Re-ranking—0
Auto-weighted Multi-view Feature Selection with Graph Optimization—0
Farewell to Mutual Information: Variational Distillation for Cross-Modal Person Re-IdentificationCode1
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