Fixed-rank representation for unsupervised visual learning

@article{Liu2012FixedrankRF,
  title={Fixed-rank representation for unsupervised visual learning},
  author={Risheng Liu and Zhouchen Lin and Fernando De la Torre and Zhixun Su},
  journal={2012 IEEE Conference on Computer Vision and Pattern Recognition},
  year={2012},
  pages={598-605}
}
Subspace clustering and feature extraction are two of the most commonly used unsupervised learning techniques in computer vision and pattern recognition. State-of-the-art techniques for subspace clustering make use of recent advances in sparsity and rank minimization. However, existing techniques are computationally expensive and may result in degenerate… CONTINUE READING

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