Články se zplnomocněním k veřejnému přístupu - Markus GrasmairDalší informace
Nedostupné nikde: 1
Generalizations of the taut string method
M Grasmair, A Obereder
Numerical Functional Analysis and Optimization 29 (3-4), 346-361, 2008
Zplnomocnění: Austrian Science Fund
Dostupné někde: 30
Sparse regularization with lq penalty term
M Grasmair, M Haltmeier, O Scherzer
Inverse Problems 24 (5), 055020, 2008
Zplnomocnění: Austrian Science Fund
Necessary and sufficient conditions for linear convergence of ℓ1‐regularization
M Grasmair, O Scherzer, M Haltmeier
Communications on Pure and Applied Mathematics 64 (2), 161-182, 2011
Zplnomocnění: Austrian Science Fund
Anisotropic total variation filtering
M Grasmair, F Lenzen
Applied Mathematics & Optimization 62, 323-339, 2010
Zplnomocnění: Austrian Science Fund
Generalized Bregman distances and convergence rates for non-convex regularization methods
M Grasmair
Inverse problems 26 (11), 115014, 2010
Zplnomocnění: Austrian Science Fund
Locally adaptive total variation regularization
M Grasmair
International Conference on Scale Space and Variational Methods in Computer …, 2009
Zplnomocnění: Austrian Science Fund
Linear convergence rates for Tikhonov regularization with positively homogeneous functionals
M Grasmair
Inverse Problems 27 (7), 075014, 2011
Zplnomocnění: Austrian Science Fund
Non-convex sparse regularisation
M Grasmair
Journal of Mathematical Analysis and Applications 365 (1), 19-28, 2010
Zplnomocnění: Austrian Science Fund
The residual method for regularizing ill-posed problems
M Grasmair, M Haltmeier, O Scherzer
Applied Mathematics and Computation 218 (6), 2693-2710, 2011
Zplnomocnění: Austrian Science Fund
Regularization of linear ill-posed problems by the augmented Lagrangian method and variational inequalities
K Frick, M Grasmair
Inverse Problems 28 (10), 104005, 2012
Zplnomocnění: German Research Foundation
Variational multiscale nonparametric regression: Smooth functions
M Grasmair, H Li, A Munk
Zplnomocnění: German Research Foundation
Identifiability and reconstruction of shapes from integral invariants
T Fidler, M Grasmair, O Scherzer
Inverse Problems and Imaging 2 (3), 341-354, 2008
Zplnomocnění: Austrian Science Fund
Shape reconstruction with a priori knowledge based on integral invariants
T Fidler, M Grasmair, O Scherzer
SIAM Journal on Imaging Sciences 5 (2), 726-745, 2012
Zplnomocnění: Austrian Science Fund
Conditions on optimal support recovery in unmixing problems by means of multi-penalty regularization
M Grasmair, V Naumova
Inverse Problems 32 (10), 104007, 2016
Zplnomocnění: Research Council of Norway
A coarea formula for anisotropic total variation regularisation
M Grasmair
Industrial Geometry Report, 2010
Zplnomocnění: Austrian Science Fund
Adaptive multi-penalty regularization based on a generalized lasso path
M Grasmair, T Klock, V Naumova
Applied and Computational Harmonic Analysis 49 (1), 30-55, 2020
Zplnomocnění: Research Council of Norway
Evolution by non-convex functionals
P Elbau, M Grasmair, F Lenzen, O Scherzer
Numerical functional analysis and optimization 31 (4), 489-517, 2010
Zplnomocnění: Austrian Science Fund
Towards a data-driven system for personalized cervical cancer risk stratification
GSRE Langberg, JF Nygård, VC Gogineni, M Nygård, M Grasmair, ...
Scientific Reports 12 (1), 12083, 2022
Zplnomocnění: Research Council of Norway
An approach to the minimization of the Mumford–Shah functional using -convergence and topological asymptotic expansion
M Grasmair, M Muszkieta, O Scherzer
Interfaces and Free Boundaries 15 (2), 141-166, 2013
Zplnomocnění: Austrian Science Fund
Data-driven personalized cervical cancer risk prediction: A graph-perspective
VC Gogineni, SRE Langberg, V Naumova, JF Nygård, M Nygård, ...
2021 IEEE Statistical Signal Processing Workshop (SSP), 46-50, 2021
Zplnomocnění: Research Council of Norway
Informace o publikování a financování jsou automaticky vybírány počítačovým programem