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Research Data Supporting "Learning Filter Functions in Regularisers by Minimising Quotients"

Repository URI

https://www.repository.cam.ac.uk/handle/1810/263468

Repository DOI

https://doi.org/10.17863/CAM.8419
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Files

learning_filter_functions_in_regularisers.zip (154.5 KB)

Type

Dataset

Change log

Authors

Gilboa, G 
Grah, JS 
Schönlieb, C-B 

Description

This data contains the code and images necessary to reproduce the computational results published in "Learning Filter Functions in Regularisers by Minimising Quotients".

Version

Software / Usage instructions

MATLAB® R2016b (https://uk.mathworks.com/products/matlab.html), CVX Software for Disciplined Convex Programming (http://cvxr.com/cvx/)

Keywords

Regularisation Learning, Non-linear Eigenproblem, Sparse Regularisation, Generalised Inverse Power Method

Publisher

Rights

Attribution-ShareAlike 4.0 International (CC BY-SA 4.0) Repository logo
Sponsorship
Isaac Newton Trust (1608(aj))
Leverhulme Trust (ECF-2016-611)
Relationships
Supplements:
https://www.repository.cam.ac.uk/handle/1810/279135
https://doi.org/10.1007/978-3-319-58771-4_41

Collections

Research Data - Applied Mathematics and Theoretical Physics
Symplectic mapped items for data match