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It is interesting and challenging to learn underlying semantics from multimodal data of different modalities, which carry their own contribution to high-level semantics. However, multimodal data are usually represented with heterogeneous features. It is difficult to learn a semantic subspace where multimodal correlation is learned and preserved. In this paper, we analyze sparse canonical correlation...
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