Finding the Sparsest Vectors in a Subspace: Theory, Algorithms, and Applications

Takia Islam (equal contribution), Zhihui Zhu (equal contribution), Xiao Li, Manolis C. Tsakiris, John Wright, Rene Vidal
October 2019
Project

Abstract

The paper reviews recent work on nonconvex optimization methods for finding the sparsest vectors in linear subspaces.

Type
Journal article
Publication
In Preparation for IEEE Signal Processing Magazine (Invited Paper for Special Issue on Nonconvex Optimization)