Locality-constrained discriminative learning and coding

@article{Wang2015LocalityconstrainedDL,
  title={Locality-constrained discriminative learning and coding},
  author={Shuyang Wang and Yun Fu},
  journal={2015 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)},
  year={2015},
  pages={17-24}
}
This paper explores the enhancement by locality constraint to both learning and coding schemes, more specifically, discriminative low-rank dictionary learning and auto-encoder. Previous Fisher discriminative based dictionary learning has led to interesting results by learning more discerning sub-dictionaries. Also, the low-rank regularization term has been introduced to take advantage of the global structure of the data. However, such methods fail to consider data's intrinsic manifold structure… CONTINUE READING

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