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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 111120 of 256 papers

TitleStatusHype
Multi-view Data Classification with a Label-driven Auto-weighted Strategy0
Self-attention Multi-view Representation Learning with Diversity-promoting Complementarity0
Multi-view Subspace Adaptive Learning via Autoencoder and Attention0
A Novel TSK Fuzzy System Incorporating Multi-view Collaborative Transfer Learning for Personalized Epileptic EEG Detection0
Saliency-based Multi-View Mixed Language Training for Zero-shot Cross-lingual Classification0
Shared Independent Component Analysis for Multi-Subject NeuroimagingCode1
TSK Fuzzy System Towards Few Labeled Incomplete Multi-View Data Classification0
Diverse and Consistent Multi-view Networks for Semi-supervised Regression0
Information Theory-Guided Heuristic Progressive Multi-View Coding0
Duo-SegNet: Adversarial Dual-Views for Semi-Supervised Medical Image SegmentationCode1
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