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Structured Nuclear Norm Matrix Completion: Guaranteeing Exact Recovery via Block‐Column Scaling

Konstantin Usevich et al.
HAL (France) · Papers
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The goal of low‐rank matrix completion is to minimize the rank of a matrix while adhering to the constraint that known (non‐missing) elements are fixed in the approximation. Minimizing rank is a difficult, non‐convex, NP‐hard problem, often addressed by substituting rank with the nuclear norm to ach
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