Inductive Hashing on Manifolds

@article{Shen2013InductiveHO,
  title={Inductive Hashing on Manifolds},
  author={F. Shen and Chunhua Shen and Qinfeng Shi and A. V. D. Hengel and Z. Tang},
  journal={2013 IEEE Conference on Computer Vision and Pattern Recognition},
  year={2013},
  pages={1562-1569}
}
  • F. Shen, Chunhua Shen, +2 authors Z. Tang
  • Published 2013
  • Computer Science
  • 2013 IEEE Conference on Computer Vision and Pattern Recognition
  • Learning based hashing methods have attracted considerable attention due to their ability to greatly increase the scale at which existing algorithms may operate. Most of these methods are designed to generate binary codes that preserve the Euclidean distance in the original space. Manifold learning techniques, in contrast, are better able to model the intrinsic structure embedded in the original high-dimensional data. The complexity of these models, and the problems with out-of-sample data… CONTINUE READING
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