Is the 1-norm the best convex sparse regularization?
Langue
en
Communication dans un congrès
Ce document a été publié dans
iTWIST'18 - international Traveling Workshop on Interactions between low-complexity data models and Sensing Techniques, 2018-11-21, Marseille. p. 1-11
Résumé en anglais
The 1-norm is a good convex regularization for the recovery of sparse vectors from under-determined linear measurements. No other convex regularization seems to surpass its sparse recovery performance. How can this be ...Lire la suite >