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Traditional approaches for classification require that the labeled data should have an identical distribution with the unlabeled data in order to build a reliable classifier. However, the identical distributed labeled data are often in short supply. In this situation, we may hope to borrow the labeled data in the relative domain to help the target task. To address this problem, we propose a transfer...
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