Concurrent subspaces analysis

@article{Xu2005ConcurrentSA,
  title={Concurrent subspaces analysis},
  author={Dong Xu and Shuicheng Yan and Lei Zhang and HongJiang Zhang and Zhengkai Liu and Harry Shum},
  journal={2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05)},
  year={2005},
  volume={2},
  pages={203-208 vol. 2}
}
A representative subspace is significant for image analysis, while the corresponding techniques often suffer from the curse of dimensionality dilemma. In this paper, we propose a new algorithm, called concurrent subspaces analysis (CSA), to derive representative subspaces by encoding image objects as 2/sup nd/ or even higher order tensors. In CSA, an original higher dimensional tensor is transformed into a lower dimensional one using multiple concurrent subspaces that characterize the most… CONTINUE READING

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