19 citations · 71 across the 10 of their papers we have counts for
3 papers · 1 filter
Discriminative and Geometry Aware Unsupervised Domain Adaptation
Lingkun Luo, Liming Chen, Shiqiang Hu +2
Domain adaptation (DA) aims to generalize a learning model across training and testing data despite the mismatch of their data distributions. In light of a theoretical estimation o…
Robust Data Geometric Structure Aligned Close yet Discriminative Domain Adaptation
Lingkun Luo, Xiaofang Wang, Shiqiang Hu +1
Domain adaptation (DA) is transfer learning which aims to leverage labeled data in a related source domain to achieve informed knowledge transfer and help the classification of unl…
Close Yet Distinctive Domain Adaptation
Lingkun Luo, Xiaofang Wang, Shiqiang Hu +3
Domain adaptation is transfer learning which aims to generalize a learning model across training and testing data with different distributions. Most previous research tackle this p…