Coupled kernel-based subspace learning

@article{Yan2005CoupledKS,
  title={Coupled kernel-based subspace learning},
  author={Shuicheng Yan and Dong Xu and Lei Zhang and Benyu Zhang and HongJiang Zhang},
  journal={2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05)},
  year={2005},
  volume={1},
  pages={645-650 vol. 1}
}
It was prescriptive that an image matrix was transformed into a vector before the kernel-based subspace learning. In this paper, we take the kernel discriminant analysis (KDA) algorithm as an example to perform kernel analysis on 2D image matrices directly. First, each image matrix is decomposed as the product of two orthogonal matrices and a diagonal one… CONTINUE READING