Jul 29, 2019 · This note discusses an interesting matrix factorization called the CUR Decomposition. We illustrate various viewpoints of this method by comparing and ...

This note discusses an interesting matrix factorization called the CUR Decomposition. We illustrate various viewpoints of this method by comparing and ...

This note discusses an interesting matrix factorization called the CUR Decomposition. We illustrate various viewpoints of this method by comparing and ...

Aug 3, 2019 · This note discusses an interesting matrix factorization called the CUR Decomposition. We illustrate various viewpoints of this method by ...

This paper proposes a method to efficiently compute a CUR decomposition of a matrix by using the fast CUR method as a basis and improves its runtime.

Perspectives on CUR decompositions · List of references · Publications that cite this publication. Perturbations of the Tcur Decomposition for Tensor Valued ...

Huang, Perspectives on CUR Decompositions Applied and Computational Harmonic Analysis Vol. 48, No. 3 (2020), 1088-1099. Journal Version; [J9] A. Aldroubi, K ...

Sep 3, 2019 · This note discusses an interesting matrix factorization called the CUR Decomposition. We illustrate various viewpoints of this method by ...

CUR decompositions are a recently-popular class of randomized algorithms that approximate a data matrix X ∈ Rn×p by using only a small number of actual columns ...

Our CUR decomposition computes a provably efficient U in linear time. In recent work (DM '04), we demonstrate how to compute a provably efficient U in constant ...