Fast sparse representation with prototypes

  title={Fast sparse representation with prototypes},
  author={Jia-Bin Huang and Ming-Hsuan Yang},
  journal={2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition},
Sparse representation has found applications in numerous domains and recent developments have been focused on the convex relaxation of the lo-norm minimization for sparse coding (i.e., the l\-norm minimization). Nevertheless, the time and space complexities of these algorithms remain significantly high for large-scale problems. As signals in most problems can be modeled by a small set of prototypes, we propose an algorithm that exploits this property and show that the l\-norm minimization… CONTINUE READING
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