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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 221–230 of 256 papers

TitleStatusHype
Classification of weak multi-view signals by sharing factors in a mixture of Bayesian group factor analyzers—0
Community-preserving Graph Convolutions for Structural and Functional Joint Embedding of Brain Networks—0
Deep Code Search with Naming-Agnostic Contrastive Multi-View Learning—0
Deep Incomplete Multi-view Learning via Cyclic Permutation of VAEs—0
Deep Multi-View Learning for Tire Recommendation—0
Deep Multi-view Learning to Rank—0
Deep Multi-View Learning using Neuron-Wise Correlation-Maximizing Regularizers—0
Deep Partial Multi-View Learning—0
Deep Transfer Tensor Factorization for Multi-View Learning—0
Deep Variational Canonical Correlation Analysis—0
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