Semi-supervised Domain Adaptation on Manifolds

@article{Cheng2014SemisupervisedDA,
  title={Semi-supervised Domain Adaptation on Manifolds},
  author={Li Cheng and Sinno Jialin Pan},
  journal={IEEE Transactions on Neural Networks and Learning Systems},
  year={2014},
  volume={25},
  pages={2240-2249}
}
In real-life problems, the following semi-supervised domain adaptation scenario is often encountered: we have full access to some source data, which is usually very large; the target data distribution is under certain unknown transformation of the source data distribution; meanwhile, only a small fraction of the target instances come with labels. The goal is to learn a prediction model by incorporating information from the source domain that is able to generalize well on the target test… CONTINUE READING

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References

Publications referenced by this paper.
SHOWING 1-10 OF 29 REFERENCES

Semi-supervised Domain Adaptation with Instance Constraints

  • 2013 IEEE Conference on Computer Vision and Pattern Recognition
  • 2013
VIEW 1 EXCERPT

Semisupervised Multitask Learning With Gaussian Processes

  • IEEE Transactions on Neural Networks and Learning Systems
  • 2013
VIEW 1 EXCERPT

A Survey on Transfer Learning

  • IEEE Transactions on Knowledge and Data Engineering
  • 2010
VIEW 1 EXCERPT