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Enhancing Sparsity by Reweighted L1 Minimization

Enhancing Sparsity by Reweighted L1 Minimization

10 November 2007
Emmanuel J. Candes
M. Wakin
Stephen P. Boyd
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Papers citing "Enhancing Sparsity by Reweighted L1 Minimization"

46 / 146 papers shown
Title
Kernel Spectral Clustering and applications
Kernel Spectral Clustering and applications
R. Langone
Raghvendra Mall
C. Alzate
Johan A. K. Suykens
21
30
0
03 May 2015
Efficient Sequential Monte-Carlo Samplers for Bayesian Inference
Efficient Sequential Monte-Carlo Samplers for Bayesian Inference
T. Nguyen
F. Septier
G. Peters
Y. Delignon
35
38
0
22 Apr 2015
Simultaneously sparse and low-rank abundance matrix estimation for
  hyperspectral image unmixing
Simultaneously sparse and low-rank abundance matrix estimation for hyperspectral image unmixing
Paris V. Giampouras
K. Themelis
A. Rontogiannis
K. Koutroumbas
96
119
0
07 Apr 2015
Graph Connectivity in Noisy Sparse Subspace Clustering
Graph Connectivity in Noisy Sparse Subspace Clustering
Yining Wang
Yu-Xiang Wang
Aarti Singh
35
9
0
04 Apr 2015
Convex Denoising using Non-Convex Tight Frame Regularization
Convex Denoising using Non-Convex Tight Frame Regularization
Ankit Parekh
I. Selesnick
13
57
0
04 Apr 2015
Cramer-Rao Bound for Sparse Signals Fitting the Low-Rank Model with
  Small Number of Parameters
Cramer-Rao Bound for Sparse Signals Fitting the Low-Rank Model with Small Number of Parameters
M. Shaghaghi
S. Vorobyov
21
16
0
26 Feb 2015
Using the LASSO's Dual for Regularization in Sparse Signal
  Reconstruction from Array Data
Using the LASSO's Dual for Regularization in Sparse Signal Reconstruction from Array Data
Christoph F. Mecklenbräuker
Peter Gerstoft
E. Zöchmann
27
2
0
16 Feb 2015
Strong NP-Hardness for Sparse Optimization with Concave Penalty
  Functions
Strong NP-Hardness for Sparse Optimization with Concave Penalty Functions
Yichen Chen
Dongdong Ge
Mengdi Wang
Zizhuo Wang
Yinyu Ye
Hao Yin
39
10
0
04 Jan 2015
Support recovery without incoherence: A case for nonconvex
  regularization
Support recovery without incoherence: A case for nonconvex regularization
Po-Ling Loh
Martin J. Wainwright
39
166
0
17 Dec 2014
Exact penalty decomposition method for zero-norm minimization based on
  MPEC formulation
Exact penalty decomposition method for zero-norm minimization based on MPEC formulation
Shujun Bi
Xiaolan Liu
S. Pan
21
38
0
15 Dec 2014
Sparse Modeling for Image and Vision Processing
Sparse Modeling for Image and Vision Processing
Julien Mairal
Francis R. Bach
Jean Ponce
VLM
37
488
0
12 Nov 2014
Super-resolution method using sparse regularization for point-spread
  function recovery
Super-resolution method using sparse regularization for point-spread function recovery
Fred-Maurice Ngole-Mboula
Jean-Luc Starck
S. Ronayette
K. Okumura
J. Amiaux
16
27
0
16 Oct 2014
Compressed sensing for longitudinal MRI: An adaptive-weighted approach
Compressed sensing for longitudinal MRI: An adaptive-weighted approach
L. Weizman
Yonina C. Eldar
D. Ben Bashat
29
95
0
10 Jul 2014
A Convex Formulation for Learning Scale-Free Networks via Submodular
  Relaxation
A Convex Formulation for Learning Scale-Free Networks via Submodular Relaxation
Aaron Defazio
T. Caetano
39
40
0
10 Jul 2014
DC approximation approaches for sparse optimization
DC approximation approaches for sparse optimization
Hoai An Le Thi
T. P. Dinh
L. Minh
X. T. Vo
40
197
0
01 Jul 2014
A Bimodal Co-Sparse Analysis Model for Image Processing
A Bimodal Co-Sparse Analysis Model for Image Processing
Martin Kiechle
Tim Habigt
S. Hawe
M. Kleinsteuber
42
20
0
25 Jun 2014
Incremental Majorization-Minimization Optimization with Application to
  Large-Scale Machine Learning
Incremental Majorization-Minimization Optimization with Application to Large-Scale Machine Learning
Julien Mairal
79
317
0
18 Feb 2014
Homotopy based algorithms for $\ell_0$-regularized least-squares
Homotopy based algorithms for ℓ0\ell_0ℓ0​-regularized least-squares
C. Soussen
Jérôme Idier
Junbo Duan
D. Brie
28
26
0
31 Jan 2014
Dictionary-Learning-Based Reconstruction Method for Electron Tomography
Dictionary-Learning-Based Reconstruction Method for Electron Tomography
Baodong Liu
Hengyong Yu
S. Verbridge
Lizhi Sun
Ge Wang
41
14
0
22 Nov 2013
Challenges of Big Data Analysis
Challenges of Big Data Analysis
Jianqing Fan
Fang Han
Han Liu
74
1,278
0
07 Aug 2013
Online dictionary learning for kernel LMS. Analysis and forward-backward
  splitting algorithm
Online dictionary learning for kernel LMS. Analysis and forward-backward splitting algorithm
Wei Gao
Jie Chen
C. Richard
Jianguo Huang
23
3
0
22 Jun 2013
Sparse Recovery of Streaming Signals Using L1-Homotopy
Sparse Recovery of Streaming Signals Using L1-Homotopy
M. Salman Asif
J. Romberg
45
155
0
14 Jun 2013
A framework to characterize performance of LASSO algorithms
A framework to characterize performance of LASSO algorithms
M. Stojnic
50
128
0
29 Mar 2013
Strong oracle optimality of folded concave penalized estimation
Strong oracle optimality of folded concave penalized estimation
Jianqing Fan
Lingzhou Xue
H. Zou
48
302
0
22 Oct 2012
Nonconcave penalized composite conditional likelihood estimation of
  sparse Ising models
Nonconcave penalized composite conditional likelihood estimation of sparse Ising models
Lingzhou Xue
H. Zou
Tianxi Cai
63
87
0
17 Aug 2012
Group Iterative Spectrum Thresholding for Super-Resolution Sparse
  Spectral Selection
Group Iterative Spectrum Thresholding for Super-Resolution Sparse Spectral Selection
Yiyuan She
Huanghuang Li
Jiangping Wang
Dapeng Oliver Wu
43
20
0
28 Jul 2012
Dual-Space Analysis of the Sparse Linear Model
Dual-Space Analysis of the Sparse Linear Model
David Wipf
Yi Wu
31
16
0
10 Jul 2012
Sparse Distributed Learning Based on Diffusion Adaptation
Sparse Distributed Learning Based on Diffusion Adaptation
P. Lorenzo
Ali H. Sayed
43
219
0
14 Jun 2012
Beyond $\ell_1$-norm minimization for sparse signal recovery
Beyond ℓ1\ell_1ℓ1​-norm minimization for sparse signal recovery
Hassan Mansour
40
9
0
30 May 2012
EP-GIG Priors and Applications in Bayesian Sparse Learning
EP-GIG Priors and Applications in Bayesian Sparse Learning
Zhihua Zhang
Shusen Wang
Dehua Liu
Michael I. Jordan
33
56
0
19 Apr 2012
Regularized Robust Coding for Face Recognition
Regularized Robust Coding for Face Recognition
Meng Yang
Lei Zhang
Jian Yang
David C. Zhang
CVBM
30
275
0
20 Feb 2012
Extension of SBL Algorithms for the Recovery of Block Sparse Signals
  with Intra-Block Correlation
Extension of SBL Algorithms for the Recovery of Block Sparse Signals with Intra-Block Correlation
Zhilin Zhang
Bhaskar D. Rao
28
497
0
04 Jan 2012
Analog Sparse Approximation with Applications to Compressed Sensing
Analog Sparse Approximation with Applications to Compressed Sensing
Adam S. Charles
Pierre Garrigues
Christopher Rozell
47
8
0
17 Nov 2011
Efficient algorithm to select tuning parameters in sparse regression
  modeling with regularization
Efficient algorithm to select tuning parameters in sparse regression modeling with regularization
K. Hirose
Shohei Tateishi
S. Konishi
45
11
0
12 Sep 2011
Moving Object Detection by Detecting Contiguous Outliers in the Low-Rank
  Representation
Moving Object Detection by Detecting Contiguous Outliers in the Low-Rank Representation
Xiaowei Zhou
Can Yang
Weichuan Yu
65
637
0
05 Sep 2011
Multi-stage Convex Relaxation for Feature Selection
Multi-stage Convex Relaxation for Feature Selection
Tong Zhang
51
112
0
03 Jun 2011
Multi-scale Mining of fMRI data with Hierarchical Structured Sparsity
Multi-scale Mining of fMRI data with Hierarchical Structured Sparsity
Rodolphe Jenatton
Alexandre Gramfort
V. Michel
G. Obozinski
Evelyn Eger
Francis R. Bach
B. Thirion
59
127
0
02 May 2011
Iterative Reweighted Algorithms for Sparse Signal Recovery with
  Temporally Correlated Source Vectors
Iterative Reweighted Algorithms for Sparse Signal Recovery with Temporally Correlated Source Vectors
Zhilin Zhang
Bhaskar D. Rao
50
38
0
28 Apr 2011
Robust Nonparametric Regression via Sparsity Control with Application to
  Load Curve Data Cleansing
Robust Nonparametric Regression via Sparsity Control with Application to Load Curve Data Cleansing
Gonzalo Mateos
G. Giannakis
52
45
0
04 Apr 2011
Peak Reduction and Clipping Mitigation by Compressive Sensing
Peak Reduction and Clipping Mitigation by Compressive Sensing
Ebrahim B. Al-Safadi
Tareq Y. Al-Naffouri
77
56
0
22 Jan 2011
A Hierarchical Bayesian Framework for Constructing Sparsity-inducing
  Priors
A Hierarchical Bayesian Framework for Constructing Sparsity-inducing Priors
Anthony Lee
François Caron
Arnaud Doucet
Chris Holmes
70
46
0
09 Sep 2010
Manifold Elastic Net: A Unified Framework for Sparse Dimension Reduction
Manifold Elastic Net: A Unified Framework for Sparse Dimension Reduction
Dinesh Manocha
Dacheng Tao
Xindong Wu
47
204
0
21 Jul 2010
A majorization-minimization approach to variable selection using spike
  and slab priors
A majorization-minimization approach to variable selection using spike and slab priors
Tso-Jung Yen
89
53
0
06 May 2010
A Selective Overview of Variable Selection in High Dimensional Feature
  Space (Invited Review Article)
A Selective Overview of Variable Selection in High Dimensional Feature Space (Invited Review Article)
Jianqing Fan
Jinchi Lv
104
905
0
06 Oct 2009
A unified approach to model selection and sparse recovery using
  regularized least squares
A unified approach to model selection and sparse recovery using regularized least squares
Jinchi Lv
Yingying Fan
65
357
0
21 May 2009
A D.C. Programming Approach to the Sparse Generalized Eigenvalue Problem
A D.C. Programming Approach to the Sparse Generalized Eigenvalue Problem
Bharath K. Sriperumbudur
David A. Torres
Gert R. G. Lanckriet
65
14
0
12 Jan 2009
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