Bayesian Multiview Dimensionality Reduction for Learning Predictive Subspaces

Abstract

Multiview learning basically tries to exploit different feature representations to obtain better learners. For example, in video and image recognition problems, there are many possible feature representations such as colorand texture-based features. There are two common ways of exploiting multiple views: forcing similarity (i) in predictions and (ii) in… (More)
DOI: 10.3233/978-1-61499-419-0-387

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