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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 201210 of 256 papers

TitleStatusHype
Anomaly detecting and ranking of the cloud computing platform by multi-view learning0
Deep Multimodality Model for Multi-task Multi-view LearningCode0
Joint Embedding Learning and Low-Rank Approximation: A Framework for Incomplete Multi-view Learning0
Learning Common Representation from RGB and Depth Images0
Deep Collective Matrix Factorization for Augmented Multi-View LearningCode0
Ensemble of Multi-View Learning Classifiers for Cross-Domain Iris Presentation Attack DetectionCode0
Visual-Texual Emotion Analysis with Deep Coupled Video and Danmu Neural Networks0
Robust Visual Tracking using Multi-Frame Multi-Feature Joint ModelingCode0
Stacked Penalized Logistic Regression for Selecting Views in Multi-View Learning0
Multi-Multi-View Learning: Multilingual and Multi-Representation Entity TypingCode0
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