Low-rank matrix recovery with Ky Fan 2-k-norm
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Abstract (arXiv)
We propose Ky Fan 2-k-norm-based models for the nonconvex low-rank matrix recovery problem. A general difference of convex algorithm (DCA) is developed to solve these models. Numerical results show that the proposed models achieve high recoverability rates.
Key facts. Cited by 3 papers in the map (data through 13 Oct 2026). First posted on arXiv 11 Apr 2019.
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3 papers.