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1:05:40
Microsoft
Near-Optimal Robust Matrix Completion via Non-convex Optimization
Several important applications require completion a low-rank matrix in presence of gross outliers. Examples include robust PCA with missing entries, robust recommendation system, foreground background separation in sublinear time etc. Existing solutions for this problem do not scale for large data and do not have optimal sample complexity ...
Aug 25, 2016
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Robust principal component analysis Robust PCA Applications
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