Subset selection for matrices

By F. Hoog, R. Mattheij. 2007

54 citations recorded by the source corpus.

Subfields: Computational Theory and Mathematics, Electrical and Electronic Engineering, Numerical Analysis

View Paper: https://www.semanticscholar.org/paper/6aa799a8017bdcf980e32d9783dd45a014e6311b

Citations in the corpus

• SketchOGD: Memory-Efficient Continual Learning (2023, unknown): “…setting of one-pass learning. b) Matrix approximation: Many approaches have been proposed for approximating or compressing a matrix, including techniques based on sparsification and quantization [26], column selection [27], dimensionality reduction [28] and approximation by submatrices [29].”