Heterogeneous Domain Adaptation Through Progressive Alignment
In real-world transfer learning tasks, especially in cross-modal applications, the source domain and the target domain often have different features and distributions, which are well known as the heterogeneous domain adaptation (HDA) problem. Yet, existing HDA methods focus on either alleviating the...
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Veröffentlicht in: | IEEE transaction on neural networks and learning systems 2019-05, Vol.30 (5), p.1381-1391 |
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