Generalized Domain-Adaptive Dictionaries

@article{Shekhar2013GeneralizedDD,
  title={Generalized Domain-Adaptive Dictionaries},
  author={Sumit Shekhar and Vishal M. Patel and Hien Van Nguyen and Rama Chellappa},
  journal={2013 IEEE Conference on Computer Vision and Pattern Recognition},
  year={2013},
  pages={361-368}
}
Data-driven dictionaries have produced state-of-the-art results in various classification tasks. However, when the target data has a different distribution than the source data, the learned sparse representation may not be optimal. In this paper, we investigate if it is possible to optimally represent both source and target by a common dictionary. Specifically, we describe a technique which jointly learns projections of data in the two domains, and a latent dictionary which can succinctly… CONTINUE READING
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