Random Forest for Dissimilarity-based Multi-view Learning

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Random Forest for Dissimilarity-based Multi-view Learning

Bernard, S and Cao, H and Sabourin, R and …

Handbook Of Pattern łdots 2020

Abstract : Many classification problems are naturally multi-view in the sense their data are described through multiple heterogeneous descriptions. For such tasks, dissimilarity strategies are effective ways to make the different descriptions comparable and to easily merge them, by (i) łdots

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