Semi-supervised Subspace Co-Projection for Multi-class Heterogeneous Domain Adaptation

@inproceedings{Xiao2015SemisupervisedSC,
  title={Semi-supervised Subspace Co-Projection for Multi-class Heterogeneous Domain Adaptation},
  author={Min Xiao and Yuhong Guo},
  booktitle={ECML/PKDD},
  year={2015}
}
Heterogeneous domain adaptation aims to exploit labeled training data from a source domain for learning prediction models in a target domain under the condition that the two domains have different input feature representation spaces. In this paper, we propose a novel semi-supervised subspace co-projection method to address multiclass heterogeneous domain adaptation. The proposed method projects the instances of the two domains into a co-located latent subspace to bridge the feature divergence… CONTINUE READING
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