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Unsupervised transfer learning has attracted a lot of attention in the big data era, due to its capability of extracting knowledge from large-scale unlabeled samples in multiple data domains. Existing unsupervised transfer learning methods mainly focus on learning a common latent space for source and target domains, while the data representation and subspace structure in target domain are usually...
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