Sparse projections for high-dimensional binary codes

@article{Xia2015SparsePF,
  title={Sparse projections for high-dimensional binary codes},
  author={Yan Xia and Kaiming He and Pushmeet Kohli and Jian Sun},
  journal={2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
  year={2015},
  pages={3332-3339}
}
This paper addresses the problem of learning long binary codes from high-dimensional data. We observe that two key challenges arise while learning and using long binary codes: (1) lack of an effective regularizer for the learned high-dimensional mapping and (2) high computational cost for computing long codes. In this paper, we overcome both these problems by introducing a sparsity encouraging regularizer that reduces the effective number of parameters involved in the learned projection… CONTINUE READING
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