Nonnegative Local Coordinate Factorization for Image Representation

@article{Chen2011NonnegativeLC,
  title={Nonnegative Local Coordinate Factorization for Image Representation},
  author={Yan Chen and Hujun Bao and Xiaofei He},
  journal={IEEE Transactions on Image Processing},
  year={2011},
  volume={22},
  pages={969-979}
}
Recently, nonnegative matrix factorization (NMF) has become increasingly popular for feature extraction in computer vision and pattern recognition. NMF seeks two nonnegative matrices whose product can best approximate the original matrix. The nonnegativity constraints lead to sparse parts-based representations that can be more robust than nonsparse global features. To obtain more accurate control over the sparseness, in this paper, we propose a novel method called nonnegative local coordinate… CONTINUE READING
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