Research Data Supporting "Learning Filter Functions in Regularisers by Minimising Quotients"
Description
This data contains the code and images necessary to reproduce the computational results published in "Learning Filter Functions in Regularisers by Minimising Quotients".
Format
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
Relationships
Publication Reference: https://scirate.com/arxiv/1704.00989
Sponsorship
Isaac Newton Trust (1608(aj))
Leverhulme Trust (ECF-2016-611)
Identifiers
This record's DOI: https://doi.org/10.17863/CAM.8419
Rights
Attribution-ShareAlike 4.0 International, Attribution-ShareAlike 4.0 International, Attribution-ShareAlike 4.0 International, Attribution-ShareAlike 4.0 International, Attribution-ShareAlike 4.0 International, Attribution-ShareAlike 4.0 International, Attribution-ShareAlike 4.0 International, Attribution-ShareAlike 4.0 International, Attribution-ShareAlike 4.0 International
Licence URL: http://creativecommons.org/licenses/by-sa/4.0/http://creativecommons.org/licenses/by-sa/4.0/http://creativecommons.org/licenses/by-sa/4.0/http://creativecommons.org/licenses/by-sa/4.0/http://creativecommons.org/licenses/by-sa/4.0/http://creativecommons.org/licenses/by-sa/4.0/http://creativecommons.org/licenses/by-sa/4.0/http://creativecommons.org/licenses/by-sa/4.0/http://creativecommons.org/licenses/by-sa/4.0/
Except where otherwise noted, this item's licence is described as Attribution-ShareAlike 4.0 International