A Non-Greedy Algorithm for L1-Norm LDA

@article{Liu2017ANA,
  title={A Non-Greedy Algorithm for L1-Norm LDA},
  author={Yang Liu and Quanxue Gao and Shuo Miao and Xinbo Gao and Feiping Nie and Yunsong Li},
  journal={IEEE Transactions on Image Processing},
  year={2017},
  volume={26},
  pages={684-695}
}
Recently, L1-norm-based discriminant subspace learning has attracted much more attention in dimensionality reduction and machine learning. However, most existing approaches solve the column vectors of the optimal projection matrix one by one with greedy strategy. Thus, the obtained optimal projection matrix does not necessarily best optimize the corresponding trace ratio objective function, which is the essential criterion function for general supervised dimensionality reduction. In this paper… CONTINUE READING
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