Dictionary learning methods continue to gain popularity for the solution of challenging inverse problems. In the dictionary learning approach, the computational forward model is …
D Sanz-Alonso, N Waniorek - arXiv preprint arXiv:2401.03074, 2024 - arxiv.org
This paper analyzes hierarchical Bayesian inverse problems using techniques from high- dimensional statistics. Our analysis leverages a property of hierarchical Bayesian …
Two of the many functions supporting life, pH regulations and gas exchange, appear to be related and many studies have been conducted on the gas exchange across cell …
Group sparsity promotion via Bayesian hierarchical models in dictionary learning/coding Page 1 0. Group sparsity promotion via Bayesian hierarchical models in dictionary learning/coding …
E Somersaloa - PROCEEDINGS OF SIMAI 2023 - unibas.it
Erkki Somersaloa a Department of Mathematics, Applied Mathematics and Statistics, Case Western Reserve University (USA) ejs49@ case. edu In this talk, a review of hierarchical …