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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 211–220 of 256 papers

TitleStatusHype
Canonical Correlation Analysis with Implicit Distributions—0
Incomplete Multi-view Clustering via Graph Regularized Matrix Factorization—0
ML-LocNet: Improving Object Localization with Multi-view Learning Network—0
Jointly Deep Multi-View Learning for Clustering Analysis—0
Incorporating Deep Visual Features into Multiobjective based Multi-view Search Results Clustering—0
Integrative Multi-View Reduced-Rank Regression: Bridging Group-Sparse and Low-Rank ModelsCode0
Multi-View Fuzzy Logic System with the Cooperation between Visible and Hidden Views—0
Dynamic voting in multi-view learning for radiomics applications—0
Multi-view Sentence Representation Learning—0
Improve the performance of transfer learning without fine-tuning using dissimilarity-based multi-view learning for breast cancer histology images—0
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