Subspace Sampling and Relative-Error Matrix Approximation: Column-Row-Based Methods

Much recent work in the theoretical computer science, linear algebra, and machine learning has considered matrix decompositions of the following form: given an m

• Type: Conference
• Year: 2006
• Where: ESA
• Authors: Petros Drineas, Michael W. Mahoney, S. Muthukrishnan
• Keywords: Algorithms, ESA 2006, Low-rank Matrix Representation, Matrix, Matrix Decompositions