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Signal processing algorithms
Nonconvex Nonsmooth Low-Rank Minimization via Iteratively Reweighted Nuclear Norm
We propose to use a family of nonconvex surrogates of L 0 -norm on the singular values of a matrix to approximate the rank function.
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