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Learning with Structured Sparsity

Learning with Structured Sparsity

17 March 2009
Junzhou Huang
Tong Zhang
Dimitris N. Metaxas
ArXivPDFHTML

Papers citing "Learning with Structured Sparsity"

50 / 129 papers shown
Title
Network-Guided Biomarker Discovery
Network-Guided Biomarker Discovery
Chloé-Agathe Azencott
19
5
0
27 Jul 2016
Extended Gauss-Newton and ADMM-Gauss-Newton Algorithms for Low-Rank
  Matrix Optimization
Extended Gauss-Newton and ADMM-Gauss-Newton Algorithms for Low-Rank Matrix Optimization
Quoc Tran-Dinh
19
7
0
10 Jun 2016
A Riemannian Framework for Statistical Analysis of Topological
  Persistence Diagrams
A Riemannian Framework for Statistical Analysis of Topological Persistence Diagrams
Megasthenis Asteris
Vinay Venkataraman
Karthikeyan N. Ramamurthy
Pavan Turaga
23
12
0
28 May 2016
Estimating Sparse Signals with Smooth Support via Convex Programming and
  Block Sparsity
Estimating Sparse Signals with Smooth Support via Convex Programming and Block Sparsity
Sohil Shah
Tom Goldstein
Christoph Studer
26
4
0
06 May 2016
Convex block-sparse linear regression with expanders -- provably
Convex block-sparse linear regression with expanders -- provably
Anastasios Kyrillidis
B. Bah
Rouzbeh Hasheminezhad
Quoc Tran-Dinh
Luca Baldassarre
V. Cevher
8
1
0
21 Mar 2016
Structured Sparse Regression via Greedy Hard-Thresholding
Structured Sparse Regression via Greedy Hard-Thresholding
Prateek Jain
Nikhil S. Rao
Inderjit Dhillon
22
42
0
19 Feb 2016
Feature Selection: A Data Perspective
Feature Selection: A Data Perspective
Jundong Li
Kewei Cheng
Suhang Wang
Fred Morstatter
Robert P. Trevino
Jiliang Tang
Huan Liu
37
794
0
29 Jan 2016
Approximate Message Passing with Nearest Neighbor Sparsity Pattern
  Learning
Approximate Message Passing with Nearest Neighbor Sparsity Pattern Learning
Xiangming Meng
Sheng Wu
Linling Kuang
Defeng David Huang
Huang
Jianhua Lu
18
10
0
04 Jan 2016
UA-DETRAC: A New Benchmark and Protocol for Multi-Object Detection and
  Tracking
UA-DETRAC: A New Benchmark and Protocol for Multi-Object Detection and Tracking
Longyin Wen
Dawei Du
Zhaowei Cai
Zhen Lei
Ming-Ching Chang
H. Qi
Jongwoo Lim
Ming-Hsuan Yang
Siwei Lyu
VOT
35
563
0
13 Nov 2015
Decomposition into Low-rank plus Additive Matrices for
  Background/Foreground Separation: A Review for a Comparative Evaluation with
  a Large-Scale Dataset
Decomposition into Low-rank plus Additive Matrices for Background/Foreground Separation: A Review for a Comparative Evaluation with a Large-Scale Dataset
T. Bouwmans
A. Sobral
S. Javed
Soon Ki Jung
E. Zahzah
39
330
0
04 Nov 2015
Clustering Noisy Signals with Structured Sparsity Using Time-Frequency
  Representation
Clustering Noisy Signals with Structured Sparsity Using Time-Frequency Representation
Tom Hope
A. Wagner
O. Zuk
AI4TS
13
1
0
18 Oct 2015
Bayesian inference for spatio-temporal spike-and-slab priors
Bayesian inference for spatio-temporal spike-and-slab priors
Michael Riis Andersen
Aki Vehtari
Ole Winther
Lars Kai Hansen
34
33
0
15 Sep 2015
Parametric Maxflows for Structured Sparse Learning with Convex
  Relaxations of Submodular Functions
Parametric Maxflows for Structured Sparse Learning with Convex Relaxations of Submodular Functions
Yoshinobu Kawahara
Y. Yamaguchi
14
0
0
14 Sep 2015
Structured Sparsity: Discrete and Convex approaches
Structured Sparsity: Discrete and Convex approaches
Anastasios Kyrillidis
Luca Baldassarre
Marwa El Halabi
Quoc Tran-Dinh
V. Cevher
24
27
0
20 Jul 2015
Spectral Collaborative Representation based Classification for Hand
  Gestures recognition on Electromyography Signals
Spectral Collaborative Representation based Classification for Hand Gestures recognition on Electromyography Signals
Ali Boyali
20
54
0
26 Jun 2015
Learning the Structure for Structured Sparsity
Learning the Structure for Structured Sparsity
N. Shervashidze
Francis R. Bach
CML
34
22
0
10 Mar 2015
Structure Regularization for Structured Prediction: Theories and
  Experiments
Structure Regularization for Structured Prediction: Theories and Experiments
Xu Sun
OffRL
19
62
0
23 Nov 2014
SIRF: Simultaneous Image Registration and Fusion in A Unified Framework
SIRF: Simultaneous Image Registration and Fusion in A Unified Framework
Cheng Chen
Yeqing Li
Wen Liu
Junzhou Huang
26
4
0
18 Nov 2014
Fast Iteratively Reweighted Least Squares Algorithms for Analysis-Based
  Sparsity Reconstruction
Fast Iteratively Reweighted Least Squares Algorithms for Analysis-Based Sparsity Reconstruction
Chen Chen
Junzhou Huang
Lei He
Hongsheng Li
19
7
0
18 Nov 2014
Sparse Modeling for Image and Vision Processing
Sparse Modeling for Image and Vision Processing
Julien Mairal
Francis R. Bach
Jean Ponce
VLM
47
488
0
12 Nov 2014
Bayesian group latent factor analysis with structured sparsity
Bayesian group latent factor analysis with structured sparsity
Shiwen Zhao
Chuan Gao
S. Mukherjee
Barbara E. Engelhardt
CML
25
4
0
11 Nov 2014
A totally unimodular view of structured sparsity
A totally unimodular view of structured sparsity
Marwa El Halabi
V. Cevher
40
30
0
07 Nov 2014
Partition-wise Linear Models
Partition-wise Linear Models
H. Oiwa
R. Fujimaki
28
21
0
31 Oct 2014
Generalized Conditional Gradient for Sparse Estimation
Generalized Conditional Gradient for Sparse Estimation
Yaoliang Yu
Xinhua Zhang
Dale Schuurmans
42
78
0
17 Oct 2014
Randomized Structural Sparsity via Constrained Block Subsampling for
  Improved Sensitivity of Discriminative Voxel Identification
Randomized Structural Sparsity via Constrained Block Subsampling for Improved Sensitivity of Discriminative Voxel Identification
Yilun Wang
Junjie Zheng
Sheng Zhang
Xujun Duan
Huafu Chen
OOD
40
17
0
17 Oct 2014
Matrix Completion on Graphs
Matrix Completion on Graphs
Vassilis Kalofolias
Xavier Bresson
M. Bronstein
P. Vandergheynst
41
171
0
07 Aug 2014
Hyperspectral Imaging and Analysis for Sparse Reconstruction and
  Recognition
Hyperspectral Imaging and Analysis for Sparse Reconstruction and Recognition
Zohaib Khan
39
2
0
29 Jul 2014
Nuclear Norm based Matrix Regression with Applications to Face
  Recognition with Occlusion and Illumination Changes
Nuclear Norm based Matrix Regression with Applications to Face Recognition with Occlusion and Illumination Changes
Jian Yang
J. Qian
Lei Luo
Fanlong Zhang
Yong Xu
CVBM
32
334
0
06 May 2014
Hybrid Conditional Gradient - Smoothing Algorithms with Applications to
  Sparse and Low Rank Regularization
Hybrid Conditional Gradient - Smoothing Algorithms with Applications to Sparse and Low Rank Regularization
Andreas Argyriou
Marco Signoretto
Johan A. K. Suykens
45
22
0
14 Apr 2014
Group-sparse Matrix Recovery
Group-sparse Matrix Recovery
Xiangrong Zeng
Mário A. T. Figueiredo
38
3
0
20 Feb 2014
Compressive Measurement Designs for Estimating Structured Signals in
  Structured Clutter: A Bayesian Experimental Design Approach
Compressive Measurement Designs for Estimating Structured Signals in Structured Clutter: A Bayesian Experimental Design Approach
Swayambhoo Jain
Akshay Soni
Jarvis Haupt
39
14
0
21 Nov 2013
Pattern-Coupled Sparse Bayesian Learning for Recovery of Block-Sparse
  Signals
Pattern-Coupled Sparse Bayesian Learning for Recovery of Block-Sparse Signals
Jun Fang
Yanning Shen
Hongbin Li
Pu Wang
CML
45
212
0
09 Nov 2013
Solving OSCAR regularization problems by proximal splitting algorithms
Solving OSCAR regularization problems by proximal splitting algorithms
Xiangrong Zeng
Mário A. T. Figueiredo
47
6
0
24 Sep 2013
On the Fundamental Limits of Recovering Tree Sparse Vectors from Noisy
  Linear Measurements
On the Fundamental Limits of Recovering Tree Sparse Vectors from Noisy Linear Measurements
Akshay Soni
Jarvis Haupt
56
22
0
18 Jun 2013
Multi-dimensional sparse structured signal approximation using split
  Bregman iterations
Multi-dimensional sparse structured signal approximation using split Bregman iterations
Yoann Isaac
Quentin Barthélemy
Jamal Atif
Cédric Gouy-Pailler
Michèle Sebag
43
3
0
21 Mar 2013
Group-Sparse Model Selection: Hardness and Relaxations
Group-Sparse Model Selection: Hardness and Relaxations
Luca Baldassarre
Nirav Bhan
V. Cevher
Anastasios Kyrillidis
Siddhartha Satpathi
48
35
0
13 Mar 2013
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
E. Esser
Y. Lou
Jack Xin
59
140
0
03 Jan 2013
Forest Sparsity for Multi-channel Compressive Sensing
Forest Sparsity for Multi-channel Compressive Sensing
Cheng Chen
Yeqing Li
Junzhou Huang
27
25
0
20 Nov 2012
Efficient network-guided multi-locus association mapping with graph cuts
Efficient network-guided multi-locus association mapping with graph cuts
Chloé-Agathe Azencott
D. Grimm
M. Sugiyama
Yoshinobu Kawahara
Karsten M. Borgwardt
35
56
0
10 Nov 2012
Smooth Sparse Coding via Marginal Regression for Learning Sparse
  Representations
Smooth Sparse Coding via Marginal Regression for Learning Sparse Representations
Krishnakumar Balasubramanian
Kai Yu
Guy Lebanon
72
34
0
03 Oct 2012
Recovering Block-structured Activations Using Compressive Measurements
Recovering Block-structured Activations Using Compressive Measurements
Sivaraman Balakrishnan
Mladen Kolar
Alessandro Rinaldo
Aarti Singh
48
22
0
15 Sep 2012
Signal Recovery in Unions of Subspaces with Applications to Compressive
  Imaging
Signal Recovery in Unions of Subspaces with Applications to Compressive Imaging
Nikhil S. Rao
Benjamin Recht
Robert D. Nowak
42
19
0
14 Sep 2012
Finite sample posterior concentration in high-dimensional regression
Finite sample posterior concentration in high-dimensional regression
Nate Strawn
Artin Armagan
Rayan Saab
Lawrence Carin
David B. Dunson
53
5
0
20 Jul 2012
MahNMF: Manhattan Non-negative Matrix Factorization
MahNMF: Manhattan Non-negative Matrix Factorization
Naiyang Guan
Dacheng Tao
Zhigang Luo
John Shawe-Taylor
43
159
0
14 Jul 2012
Grouping Strategies and Thresholding for High Dimensional Linear Models
Grouping Strategies and Thresholding for High Dimensional Linear Models
Mathilde Mougeot
D. Picard
K. Tribouley
71
5
0
09 Jul 2012
Sparse Trace Norm Regularization
Sparse Trace Norm Regularization
Jianhui Chen
Jieping Ye
47
14
0
02 Jun 2012
Compressed Sensing for Energy-Efficient Wireless Telemonitoring of
  Noninvasive Fetal ECG via Block Sparse Bayesian Learning
Compressed Sensing for Energy-Efficient Wireless Telemonitoring of Noninvasive Fetal ECG via Block Sparse Bayesian Learning
Zhilin Zhang
T. Jung
S. Makeig
Bhaskar D. Rao
56
315
0
07 May 2012
Convex Relaxation for Combinatorial Penalties
Convex Relaxation for Combinatorial Penalties
G. Obozinski
Francis R. Bach
59
62
0
06 May 2012
Supervised Feature Selection in Graphs with Path Coding Penalties and
  Network Flows
Supervised Feature Selection in Graphs with Path Coding Penalties and Network Flows
Julien Mairal
Bin Yu
53
44
0
20 Apr 2012
Fast approximations to structured sparse coding and applications to
  object classification
Fast approximations to structured sparse coding and applications to object classification
Arthur Szlam
Karol Gregor
Yann LeCun
42
38
0
28 Feb 2012
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