Projective dictionary pair learning for pattern classification

@inproceedings{Gu2014ProjectiveDP,
  title={Projective dictionary pair learning for pattern classification},
  author={Shuhang Gu and Lei Zhang and Wangmeng Zuo and Xiangchu Feng},
  booktitle={NIPS},
  year={2014}
}
Discriminative dictionary learning (DL) has been widely studied in various pattern classification problems. Most of the existing DL methods aim to learn a synthesis dictionary to represent the input signal while enforcing the representation coefficients and/or representation residual to be discriminative. However, the l0 or l1-norm sparsity constraint on the representation coefficients adopted in most DL methods makes the training and testing phases time consuming. We propose anew… CONTINUE READING

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