Unsupervised Domain Adaptation Through Transferring both the Source-Knowledge and Target-Relatedness Simultaneously

18 Mar 2020 · Qing Tian, Yanan Zhu, Chuang Ma, Meng Cao ·

Unsupervised domain adaptation (UDA) is an emerging research topic in the field of machine learning and pattern recognition, which aims to help the learning of unlabeled target domain by transferring knowledge from the source domain.

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Domain Adaptation

Unsupervised Domain Adaptation

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