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Extensions of smoothing via taut strings
v1v2 (latest)

Extensions of smoothing via taut strings

20 March 2008
L. Duembgen
A. Kovac
ArXiv (abs)PDFHTML

Papers citing "Extensions of smoothing via taut strings"

14 / 14 papers shown
Estimation of a Likelihood Ratio Ordered Family of Distributions
Estimation of a Likelihood Ratio Ordered Family of Distributions
Alexandre Moesching
Lutz Dümbgen
266
5
0
22 Jul 2020
Monotone Least Squares and Isotonic Quantiles
Monotone Least Squares and Isotonic Quantiles
Alexandre Mösching
L. Duembgen
324
29
0
08 Jan 2019
Computational Sufficiency, Reflection Groups, and Generalized Lasso
  Penalties
Computational Sufficiency, Reflection Groups, and Generalized Lasso Penalties
Vincent Q. Vu
214
0
0
08 Sep 2018
Frame-constrained Total Variation Regularization for White Noise
  Regression
Frame-constrained Total Variation Regularization for White Noise RegressionAnnals of Statistics (Ann. Stat.), 2018
Miguel del Álamo Ruiz
Housen Li
Axel Munk
397
13
0
05 Jul 2018
Combinatorial Preconditioners for Proximal Algorithms on Graphs
Combinatorial Preconditioners for Proximal Algorithms on Graphs
Thomas Möllenhoff
Zhenzhang Ye
Tao Wu
Zorah Lähner
AI4CE
258
2
0
16 Jan 2018
On the Complexity of the Weighted Fused Lasso
On the Complexity of the Weighted Fused Lasso
José Bento
R. Furmaniak
Surjyendu Ray
309
8
0
15 Jan 2018
On the Taut String Interpretation of the One-dimensional
  Rudin-Osher-Fatemi Model: A New Proof, a Fundamental Estimate and Some
  Applications
On the Taut String Interpretation of the One-dimensional Rudin-Osher-Fatemi Model: A New Proof, a Fundamental Estimate and Some ApplicationsInternational Conference on Pattern Recognition Applications and Methods (ICPRAM), 2017
N. C. Overgaard
98
3
0
27 Oct 2017
Bayesian selection for the l2-Potts model regularization parameter: 1D
  piecewise constant signal denoising
Bayesian selection for the l2-Potts model regularization parameter: 1D piecewise constant signal denoisingIEEE Transactions on Signal Processing (IEEE TSP), 2016
Jordan Frécon
N. Pustelnik
N. Dobigeon
H. Wendt
P. Abry
308
11
0
27 Aug 2016
Variational Multiscale Nonparametric Regression: Smooth Functions
Variational Multiscale Nonparametric Regression: Smooth Functions
M. Grasmair
Housen Li
Axel Munk
390
17
0
03 Dec 2015
Total variation on a tree
Total variation on a tree
V. Kolmogorov
Thomas Pock
Michal Rolínek
327
43
0
26 Feb 2015
FDR-Control in Multiscale Change-point Segmentation
FDR-Control in Multiscale Change-point Segmentation
Housen Li
Axel Munk
H. Sieling
516
76
0
18 Dec 2014
An Algorithmic Theory of Dependent Regularizers, Part 1: Submodular
  Structure
An Algorithmic Theory of Dependent Regularizers, Part 1: Submodular Structure
H. Koepke
M. Meilă
458
0
0
06 Dec 2013
Multiscale Change-Point Inference
Multiscale Change-Point Inference
K. Frick
Axel Munk
H. Sieling
651
364
0
30 Jan 2013
Quantifying the cost of simultaneous non-parametric approximation of
  several samples
Quantifying the cost of simultaneous non-parametric approximation of several samples
A. Kovac
P. Davies
351
3
0
15 Sep 2008
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