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We propose Ky Fan 2-k-norm-based models for the nonconvex low-rank matrixrecovery problem. A general difference of convex algorithm (DCA) is developedto solve these models. Numerical results show that the proposed models achievehigh recoverability rates.

Low-rank matrix recovery with Ky Fan 2-k-norm