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Near-optimal compressed sensing guarantees for total variation
  minimization
v1v2 (latest)

Near-optimal compressed sensing guarantees for total variation minimization

IEEE Transactions on Image Processing (TIP), 2012
11 October 2012
Deanna Needell
Rachel A. Ward
ArXiv (abs)PDFHTML

Papers citing "Near-optimal compressed sensing guarantees for total variation minimization"

15 / 15 papers shown
Characterization of point-source transient events with a rolling-shutter compressed sensing system
Characterization of point-source transient events with a rolling-shutter compressed sensing system
Frank Qiu
Joshua Michalenko
L. Casias
Cameron J. Radosevich
Jon Slater
Eric A. Shields
291
0
0
29 Aug 2024
Low Complexity Regularized Phase Retrieval
Low Complexity Regularized Phase Retrieval
Jean-Jacques-Narcisse Godeme
M. Fadili
231
0
0
23 Jul 2024
Guaranteed Tensor Recovery Fused Low-rankness and Smoothness
Guaranteed Tensor Recovery Fused Low-rankness and SmoothnessIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023
Hailin Wang
Jiangjun Peng
Wenjin Qin
Jianjun Wang
Deyu Meng
257
129
0
04 Feb 2023
Approximation Theory of Total Variation Minimization for Data Completion
Approximation Theory of Total Variation Minimization for Data CompletionSocial Science Research Network (SSRN), 2022
Jiong Cai
Jae Kyu Choi
Ke Wei
131
0
0
15 Jul 2022
Enhanced total variation minimization for stable image reconstruction
Enhanced total variation minimization for stable image reconstructionInverse Problems (IP), 2022
Congpei An
Haonan Wu
Xiaoming Yuan
237
9
0
09 Jan 2022
WARPd: A linearly convergent first-order method for inverse problems
  with approximate sharpness conditions
WARPd: A linearly convergent first-order method for inverse problems with approximate sharpness conditions
Matthew J. Colbrook
268
2
0
24 Oct 2021
Solving Inverse Problems With Deep Neural Networks -- Robustness
  Included?
Solving Inverse Problems With Deep Neural Networks -- Robustness Included?
Martin Genzel
Jan Macdonald
M. März
AAMLOOD
184
126
0
09 Nov 2020
Tree-Projected Gradient Descent for Estimating Gradient-Sparse
  Parameters on Graphs
Tree-Projected Gradient Descent for Estimating Gradient-Sparse Parameters on GraphsAnnual Conference Computational Learning Theory (COLT), 2020
Sheng Xu
Z. Fan
S. Negahban
162
0
0
31 May 2020
Iterative Alpha Expansion for estimating gradient-sparse signals from
  linear measurements
Iterative Alpha Expansion for estimating gradient-sparse signals from linear measurements
Sheng Xu
Z. Fan
168
6
0
15 May 2019
Iterative Potts minimization for the recovery of signals with
  discontinuities from indirect measurements -- the multivariate case
Iterative Potts minimization for the recovery of signals with discontinuities from indirect measurements -- the multivariate case
Lukas Kiefer
M. Storath
Andreas Weinmann
275
10
0
03 Dec 2018
Graph-based regularization for regression problems with alignment and
  highly-correlated designs
Graph-based regularization for regression problems with alignment and highly-correlated designs
Yuan Li
Benjamin Mark
Garvesh Raskutti
Rebecca Willett
Hyebin Song
David Neiman
337
23
0
20 Mar 2018
Optimal rates for total variation denoising
Optimal rates for total variation denoising
Jan-Christian Hütter
Philippe Rigollet
245
33
0
30 Mar 2016
Dictionary LASSO: Guaranteed Sparse Recovery under Linear Transformation
Dictionary LASSO: Guaranteed Sparse Recovery under Linear Transformation
Ji Liu
Lei Yuan
Jieping Ye
366
8
0
30 Apr 2013
Guarantees of Total Variation Minimization for Signal Recovery
Guarantees of Total Variation Minimization for Signal RecoveryAllerton Conference on Communication, Control, and Computing (Allerton), 2013
Jian-Feng Cai
Weiyu Xu
686
45
0
28 Jan 2013
Stable and robust sampling strategies for compressive imaging
Stable and robust sampling strategies for compressive imagingIEEE Transactions on Image Processing (TIP), 2012
Felix Krahmer
Rachel A. Ward
311
186
0
08 Oct 2012
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