Support Recovery for Sparse Super-Resolution of Positive Measures

By Quentin Denoyelle, Vincent Duval, G. Peyr'e. 2017

92 citations recorded by the source corpus.

Subfields: Computational Mechanics, Computer Vision and Pattern Recognition

View Paper: https://www.semanticscholar.org/paper/34134f14a482caa705e354219293449bf5367f9a

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computational Mechanics

1. Martin Burger
2. Martin Benning
3. Xuecheng Tai
4. Stanley J. Osher
5. Tony F. Chan
6. Charles M. Elliott
7. Gerhard Dziuk
8. Xiaoqun Zhang

In Computer Vision and Pattern Recognition

1. Martin Burger
2. Martin Benning
3. Xuecheng Tai
4. Stanley J. Osher
5. Tony F. Chan
6. Eric T. Chung
7. A. Constantinescu
8. Marc Bonnet

Citations in the corpus

• Modern regularization methods for inverse problems (2018, methodology): “The reconstruction properties in deconvolution problems have been analyzed in [151, 142], asymptotics from finite-dimensional problems with sparsity priors are found in [207, 151].”