Necessary and sufficient conditions for linear convergence of ℓ1‐regularization

By Markus Grasmair, Otmar Scherzer, Markus Haltmeier. 2011

125 citations recorded by the source corpus.

Subfields: Biomedical Engineering, Computational Mechanics, Mathematical Physics

View Paper: https://www.semanticscholar.org/paper/4c3277954f2ccaa3536fb3509ac06e08a2a54e66

Citations in the corpus

• NETT: solving inverse problems with deep neural networks (2018, unknown): “In this case, the neural network is simply given by the analysis operator Φ(V, · ) : X → `(2)(Λ): x 7→ 〈x, φλ〉 and NETT regularization reduces to sparse `regularization [11, 16, 17, 26, 31].”