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This paper studies subspace based multi-view learning, investigating how to mine useful information within various kinds of data or features (views) and achieve the optimal cooperation between views. Unlike most existing methods focused on learning an optimal weighting scheme to linearly combine different types of view information, we propose to first improve the original information provided by each...
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