Fast $\ell_{1}$ -Minimization Algorithms for Robust Face Recognition

IEEE Transactions on Image Processing(2013)

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摘要
l 1-minimization refers to finding the minimum l1-norm solution to an underdetermined linear system \mbib=A\mbix. Under certain conditions as described in compressive sensing theory, the minimum l1-norm solution is also the sparsest solution. In this paper, we study the speed and scalability of its algorithms. In particular, we focus on the numerical implementation of a sparsity-based classificati...
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关键词
compressed sensing,convex programming,face recognition,message passing
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