A Fast Greedy Algorithm for Generalized Column Subset Selection
classification
💻 cs.DS
cs.LGstat.ML
keywords
algorithmselectioncolumnfastgeneralizedgreedymatrixproblem
read the original abstract
This paper defines a generalized column subset selection problem which is concerned with the selection of a few columns from a source matrix A that best approximate the span of a target matrix B. The paper then proposes a fast greedy algorithm for solving this problem and draws connections to different problems that can be efficiently solved using the proposed algorithm.
This paper has not been read by Pith yet.
discussion (0)
Sign in with ORCID, Apple, or X to comment. Anyone can read and Pith papers without signing in.