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

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Authors
Benning, M
Gilboa, G
Grah, JS
Schönlieb, C-B
Publication Date
2017-04-05
Type
Dataset
Metadata
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Citation
Benning, M., Gilboa, G., Grah, J., & Schönlieb, C. (2017). Research Data Supporting "Learning Filter Functions in Regularisers by Minimising Quotients" [Dataset]. https://doi.org/10.17863/CAM.8419
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/1704.00989https://doi.org/10.1007/978-3-319-58771-4_41https://www.repository.cam.ac.uk/handle/1810/279135
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 (CC BY-SA 4.0)
Licence URL: https://creativecommons.org/licenses/by-sa/4.0/
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Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)
Except where otherwise noted, this item's licence is described as Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)