no code implementations • NeurIPS 2010 • Jacob Bien, Ya Xu, Michael W. Mahoney
The CUR decomposition provides an approximation of a matrix X that has low reconstruction error and that is sparse in the sense that the resulting approximation lies in the span of only a few columns of X.
