Minimax Localization of Structural Information in Large Noisy Matrices

NeurIPS 2011 Mladen KolarSivaraman BalakrishnanAlessandro RinaldoAarti Singh

We consider the problem of identifying a sparse set of relevant columns and rows in a large data matrix with highly corrupted entries. This problem of identifying groups from a collection of bipartite variables such as proteins and drugs, biological species and gene sequences, malware and signatures, etc is commonly referred to as biclustering or co-clustering... (read more)

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