Joint Dimensionality Reduction for Two Feature Vectors

13 Feb 2016Yanjun LiYoram Bresler

Many machine learning problems, especially multi-modal learning problems, have two sets of distinct features (e.g., image and text features in news story classification, or neuroimaging data and neurocognitive data in cognitive science research). This paper addresses the joint dimensionality reduction of two feature vectors in supervised learning problems... (read more)

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