Nonnegative Discriminant Matrix Factorization

@article{Lu2017NonnegativeDM,
  title={Nonnegative Discriminant Matrix Factorization},
  author={Yuwu Lu and Wai Keung Wong and Yong Xu and Xuelong Li and Ronald M Summers and Chun Yuan},
  journal={IEEE Transactions on Circuits and Systems for Video Technology},
  year={2017},
  volume={27},
  pages={1392-1405}
}
Nonnegative matrix factorization (NMF), which aims at obtaining the nonnegative low-dimensional representation of data, has received wide attention. To obtain more effective nonnegative discriminant bases from the original NMF, in this paper, a novel method called nonnegative discriminant matrix factorization (NDMF) is proposed for image classification. NDMF integrates the nonnegative constraint, orthogonality, and discriminant information in the objective function. NDMF considers the… CONTINUE READING
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