ReFACTor: Practical Low-Rank Matrix Estimation Under Column-Sparsity

22 May 2017Matan GavishRegev SchweigerElior RahmaniEran Halperin

Various problems in data analysis and statistical genetics call for recovery of a column-sparse, low-rank matrix from noisy observations. We propose ReFACTor, a simple variation of the classical Truncated Singular Value Decomposition (TSVD) algorithm... (read more)

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