Rank-one Projections with Adaptive Margins for Face Recognition

@article{Xu2006RankonePW,
  title={Rank-one Projections with Adaptive Margins for Face Recognition},
  author={Dong Xu and Stephen Lin and Shuicheng Yan and Xiaoou Tang},
  journal={2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06)},
  year={2006},
  volume={1},
  pages={175-181}
}
In supervised dimensionality reduction, tensor representations of images have recently been employed to enhance classification of high-dimensional data with small training sets. To handle tensor data, this approach has been formulated with tight restrictions on projection directions that, along with convergence issues and the assumption of Gaussian distributed class data, limits its face recognition performance. To overcome these problems, we propose a method of rank-one projections with… CONTINUE READING
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