z-logo
open-access-imgOpen Access
A Student-t based sparsity enforcing hierarchical prior for linear inverse problems and its efficient Bayesian computation for 2D and 3D Computed Tomography
Author(s) -
Ali MohammadDjafari,
Li Wang,
Nicolas Gac,
Folkert Bleichrodt
Publication year - 2016
Publication title -
hal (le centre pour la communication scientifique directe)
Language(s) - English
Resource type - Conference proceedings
Subject(s) - inverse problem , computation , computer science , algorithm , bayesian probability , inverse , property (philosophy) , generative model , hierarchical database model , iterative reconstruction , tomography , approximate bayesian computation , mathematical optimization , generative grammar , artificial intelligence , mathematics , data mining , philosophy , physics , epistemology , inference , optics , mathematical analysis , geometry

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom