Fast ℓ1-minimization algorithms and an application in robust face recognition: A review

@article{Yang2010FastA,
  title={Fast ℓ1-minimization algorithms and an application in robust face recognition: A review},
  author={Allen Y. Yang and S. Shankar Sastry and Arvind C. Ganesh and Yi Fei Ma},
  journal={2010 IEEE International Conference on Image Processing},
  year={2010},
  pages={1849-1852}
}
We provide a comprehensive review of five representative ℓ1-minimization methods, i.e., gradient projection, homotopy, iterative shrinkage-thresholding, proximal gradient, and augmented Lagrange multiplier. The repository is intended to fill in a gap in the existing literature to systematically benchmark the performance of these algorithms using a consistent experimental setting. The experiment will be focused on the application of face recognition, where a sparse representation framework has… CONTINUE READING
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