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The structure of optimal parameters for image restoration problems

The structure of optimal parameters for image restoration problems

8 May 2015
J. D. L. Reyes
Carola-Bibiane Schönlieb
T. Valkonen
ArXiv (abs)PDFHTML

Papers citing "The structure of optimal parameters for image restoration problems"

10 / 10 papers shown
Title
On Optimal Regularization Parameters via Bilevel Learning
On Optimal Regularization Parameters via Bilevel Learning
Matthias Joachim Ehrhardt
S. Gazzola
S. J. Scott
97
4
0
28 May 2023
Survey of Deep Learning Methods for Inverse Problems
Survey of Deep Learning Methods for Inverse Problems
S. Kamyab
Zihreh Azimifar
Rasool Sabzi
Paul Fieguth
50
3
0
07 Nov 2021
Bilevel Imaging Learning Problems as Mathematical Programs with
  Complementarity Constraints: Reformulation and Theory
Bilevel Imaging Learning Problems as Mathematical Programs with Complementarity Constraints: Reformulation and Theory
Juan Carlos de los Reyes
46
5
0
05 Oct 2021
Inexact Derivative-Free Optimization for Bilevel Learning
Inexact Derivative-Free Optimization for Bilevel Learning
Matthias Joachim Ehrhardt
Lindon Roberts
84
22
0
23 Jun 2020
Asymptotic linear expansion of regularized M-estimators
Asymptotic linear expansion of regularized M-estimators
Tino Werner
22
1
0
02 Sep 2019
Parametric Majorization for Data-Driven Energy Minimization Methods
Parametric Majorization for Data-Driven Energy Minimization Methods
Jonas Geiping
Michael Moeller
129
4
0
17 Aug 2019
Solving ill-posed inverse problems using iterative deep neural networks
Solving ill-posed inverse problems using iterative deep neural networks
J. Adler
Ozan Oktem
113
617
0
13 Apr 2017
Hyperparameter optimization with approximate gradient
Hyperparameter optimization with approximate gradient
Fabian Pedregosa
184
451
0
07 Feb 2016
Bilevel parameter learning for higher-order total variation
  regularisation models
Bilevel parameter learning for higher-order total variation regularisation models
J. D. L. Reyes
C. -B. Schönlieb
T. Valkonen
70
116
0
28 Aug 2015
Bilevel approaches for learning of variational imaging models
Bilevel approaches for learning of variational imaging models
L. Calatroni
C. Chung
J. D. L. Reyes
Carola-Bibiane Schönlieb
T. Valkonen
148
92
0
08 May 2015
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