Deeply Learned Robust Matrix Completion for Large-scale Low-rank Data Recovery
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Robust matrix completion (RMC) is a widely used machine learning tool that simultaneously tackles two critical issues in low-rank data analysis: missing data entries and extreme outliers. This paper proposes a novel scalable and learnable non-convex approach, ... ...
