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A Method for Finding Structured Sparse Solutions to Non-negative Least
  Squares Problems with Applications

A Method for Finding Structured Sparse Solutions to Non-negative Least Squares Problems with Applications

SIAM Journal of Imaging Sciences (SIIMS), 2013
3 January 2013
E. Esser
Y. Lou
Jack Xin
ArXiv (abs)PDFHTML

Papers citing "A Method for Finding Structured Sparse Solutions to Non-negative Least Squares Problems with Applications"

12 / 12 papers shown
Orthogonally weighted $\ell_{2,1}$ regularization for rank-aware joint
  sparse recovery: algorithm and analysis
Orthogonally weighted ℓ2,1\ell_{2,1}ℓ2,1​ regularization for rank-aware joint sparse recovery: algorithm and analysis
Armenak Petrosyan
Konstantin Pieper
Hoang Tran
CML
147
1
0
21 Nov 2023
$l_{1-2}$ GLasso: $L_{1-2}$ Regularized Multi-task Graphical Lasso for
  Joint Estimation of eQTL Mapping and Gene Network
l1−2l_{1-2}l1−2​ GLasso: L1−2L_{1-2}L1−2​ Regularized Multi-task Graphical Lasso for Joint Estimation of eQTL Mapping and Gene Network
Wei Miao
Lan Yao
107
0
0
04 Jan 2023
Distance Correlation Based Brain Functional Connectivity Estimation and
  Non-Convex Multi-Task Learning for Developmental fMRI Studies
Distance Correlation Based Brain Functional Connectivity Estimation and Non-Convex Multi-Task Learning for Developmental fMRI StudiesIEEE Transactions on Biomedical Engineering (IEEE TBME), 2020
Li Xiao
Cai Biao
Gang Qu
Julia M. Stephen
T. Wilson
Vince D. Calhoun
Yu-Ping Wang
161
14
0
30 Sep 2020
Block-wise Scrambled Image Recognition Using Adaptation Network
Block-wise Scrambled Image Recognition Using Adaptation Network
Koki Madono
Masayuki Tanaka
Masaki Onishi
T. Ogawa
PICV
174
50
0
21 Jan 2020
DeepHoyer: Learning Sparser Neural Network with Differentiable
  Scale-Invariant Sparsity Measures
DeepHoyer: Learning Sparser Neural Network with Differentiable Scale-Invariant Sparsity MeasuresInternational Conference on Learning Representations (ICLR), 2019
Huanrui Yang
W. Wen
Xue Yang
311
109
0
27 Aug 2019
A sparse semismooth Newton based proximal majorization-minimization
  algorithm for nonconvex square-root-loss regression problems
A sparse semismooth Newton based proximal majorization-minimization algorithm for nonconvex square-root-loss regression problems
Peipei Tang
Chengjing Wang
Defeng Sun
Kim-Chuan Toh
302
27
0
27 Mar 2019
AutoShuffleNet: Learning Permutation Matrices via an Exact Lipschitz
  Continuous Penalty in Deep Convolutional Neural Networks
AutoShuffleNet: Learning Permutation Matrices via an Exact Lipschitz Continuous Penalty in Deep Convolutional Neural Networks
J. Lyu
Shuai Zhang
Y. Qi
Jack Xin
213
30
0
24 Jan 2019
Transformed $\ell_1$ Regularization for Learning Sparse Deep Neural
  Networks
Transformed ℓ1\ell_1ℓ1​ Regularization for Learning Sparse Deep Neural Networks
Rongrong Ma
Jianyu Miao
Lingfeng Niu
Peng Zhang
150
6
0
04 Jan 2019
A Scale Invariant Approach for Sparse Signal Recovery
A Scale Invariant Approach for Sparse Signal Recovery
Yaghoub Rahimi
Chao Wang
Hongbo Dong
Y. Lou
305
95
0
20 Dec 2018
Greedy Algorithms for Cone Constrained Optimization with Convergence
  Guarantees
Greedy Algorithms for Cone Constrained Optimization with Convergence GuaranteesNeural Information Processing Systems (NeurIPS), 2017
Francesco Locatello
Michael Tschannen
Gunnar Rätsch
Martin Jaggi
296
27
0
31 May 2017
Fast Learning with Nonconvex L1-2 Regularization
Fast Learning with Nonconvex L1-2 Regularization
Quanming Yao
James T. Kwok
Xiawei Guo
286
4
0
29 Oct 2016
A Flexible and Efficient Algorithmic Framework for Constrained Matrix
  and Tensor Factorization
A Flexible and Efficient Algorithmic Framework for Constrained Matrix and Tensor FactorizationIEEE Transactions on Signal Processing (IEEE TSP), 2015
Kejun Huang
N. Sidiropoulos
A. Liavas
324
184
0
13 Jun 2015
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