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Fast L(1)-Minimization Algorithms And An Application In Robust Face Recognition: A Review

2010 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, pp.1849-1852, (2010)

Cited by: 542|Views102
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We provide a comprehensive review of five representative l(1)-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 algorit...More

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