2015
Landmarks-Based Kernelized Subspace Alignment for Unsupervised Domain Adaptation
CVPR 2015poster
Domain adaptation (DA) has gained a lot of success in the recent years in computer vision to deal with situations where the learning process has to transfer knowledge from a source to a target domain. In this paper, we introduce a novel unsupervised DA approach based on both subspace alignment and s…