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Online Learning for Matrix Factorization and Sparse Coding
v1v2 (latest)

Online Learning for Matrix Factorization and Sparse Coding

1 August 2009
Julien Mairal
Francis R. Bach
Jean Ponce
Guillermo Sapiro
ArXiv (abs)PDFHTML

Papers citing "Online Learning for Matrix Factorization and Sparse Coding"

50 / 415 papers shown
Title
Convex relaxations of structured matrix factorizations
Convex relaxations of structured matrix factorizations
Francis R. Bach
120
38
0
12 Sep 2013
A Framework for the Analysis of Computational Imaging Systems with
  Practical Applications
A Framework for the Analysis of Computational Imaging Systems with Practical Applications
Kaushik Mitra
O. Cossairt
Ashok Veeraraghavan
88
31
0
08 Aug 2013
Spatial-Aware Dictionary Learning for Hyperspectral Image Classification
Spatial-Aware Dictionary Learning for Hyperspectral Image Classification
A. Soltani-Farani
Hamid R. Rabiee
Seyyed Abbas Hosseini
81
124
0
06 Aug 2013
Regularized Spherical Polar Fourier Diffusion MRI with Optimal
  Dictionary Learning
Regularized Spherical Polar Fourier Diffusion MRI with Optimal Dictionary Learning
Jian Cheng
T. Jiang
R. Deriche
Dinggang Shen
P. Yap
DiffMMedIm
57
13
0
02 Jul 2013
Stochastic Majorization-Minimization Algorithms for Large-Scale
  Optimization
Stochastic Majorization-Minimization Algorithms for Large-Scale Optimization
Julien Mairal
147
159
0
19 Jun 2013
PyHST2: an hybrid distributed code for high speed tomographic
  reconstruction with iterative reconstruction and a priori knowledge
  capabilities
PyHST2: an hybrid distributed code for high speed tomographic reconstruction with iterative reconstruction and a priori knowledge capabilities
A. Mirone
E. Gouillart
E. Brun
P. Tafforeau
J. Kieffer
53
404
0
06 Jun 2013
Revisiting Bayesian Blind Deconvolution
Revisiting Bayesian Blind Deconvolution
David Wipf
Haichao Zhang
118
119
0
10 May 2013
A least-squares method for sparse low rank approximation of multivariate
  functions
A least-squares method for sparse low rank approximation of multivariate functions
M. Chevreuil
R. Lebrun
A. Nouy
Prashant Rai
65
103
0
30 Apr 2013
Astronomical Image Denoising Using Dictionary Learning
Astronomical Image Denoising Using Dictionary Learning
Simon Beckouche
Jean-Luc Starck
M. Fadili
DiffM
79
39
0
12 Apr 2013
Distributed dictionary learning over a sensor network
Distributed dictionary learning over a sensor network
P. Chainais
C. Richard
DiffM
116
11
0
12 Apr 2013
Recovering Non-negative and Combined Sparse Representations
Recovering Non-negative and Combined Sparse Representations
Karthikeyan N. Ramamurthy
Jayaraman J. Thiagarajan
A. Spanias
40
8
0
12 Mar 2013
Multivariate Temporal Dictionary Learning for EEG
Multivariate Temporal Dictionary Learning for EEG
Quentin Barthélemy
Cédric Gouy-Pailler
Yoann Isaac
Antoine Souloumiac
A. Larue
J. Mars
76
40
0
04 Mar 2013
Learning Stable Multilevel Dictionaries for Sparse Representations
Learning Stable Multilevel Dictionaries for Sparse Representations
Jayaraman J. Thiagarajan
Karthikeyan N. Ramamurthy
A. Spanias
72
29
0
03 Mar 2013
Metrics for Multivariate Dictionaries
Metrics for Multivariate Dictionaries
Sylvain Chevallier
Quentin Barthélemy
Jamal Atif
50
3
0
18 Feb 2013
Jitter-Adaptive Dictionary Learning - Application to Multi-Trial
  Neuroelectric Signals
Jitter-Adaptive Dictionary Learning - Application to Multi-Trial Neuroelectric Signals
Sebastian Hitziger
Maureen Clerc
Alexandre Gramfort
Sandrine Saillet
C. Bénar
Théodore Papadopoulo
39
14
0
16 Jan 2013
Block Coordinate Descent for Sparse NMF
Block Coordinate Descent for Sparse NMF
Vamsi K. Potluru
Sergey Plis
Jonathan Le Roux
Barak A. Pearlmutter
Vince D. Calhoun
Thomas P. Hayes
51
21
0
15 Jan 2013
Pooling-Invariant Image Feature Learning
Pooling-Invariant Image Feature Learning
Yangqing Jia
Oriol Vinyals
Trevor Darrell
SSL
56
12
0
15 Jan 2013
Semi-blind Source Separation via Sparse Representations and Online
  Dictionary Learning
Semi-blind Source Separation via Sparse Representations and Online Dictionary Learning
Sirisha Rambhatla
Jarvis Haupt
75
12
0
03 Dec 2012
Dynamic Network Cartography
Dynamic Network Cartography
Gonzalo Mateos
K. Rajawat
80
31
0
29 Nov 2012
Lasso Screening Rules via Dual Polytope Projection
Lasso Screening Rules via Dual Polytope Projection
Jie Wang
Peter Wonka
Jieping Ye
150
242
0
16 Nov 2012
Image denoising with multi-layer perceptrons, part 2: training
  trade-offs and analysis of their mechanisms
Image denoising with multi-layer perceptrons, part 2: training trade-offs and analysis of their mechanisms
Harold Christopher Burger
Christian J. Schuler
Stefan Harmeling
76
35
0
07 Nov 2012
A network of spiking neurons for computing sparse representations in an
  energy efficient way
A network of spiking neurons for computing sparse representations in an energy efficient way
Tao Hu
A. Genkin
D. Chklovskii
98
22
0
04 Oct 2012
Local stability and robustness of sparse dictionary learning in the
  presence of noise
Local stability and robustness of sparse dictionary learning in the presence of noise
Rodolphe Jenatton
Tuo Chen
Francis R. Bach
154
49
0
02 Oct 2012
Super-resolution using Sparse Representations over Learned Dictionaries:
  Reconstruction of Brain Structure using Electron Microscopy
Super-resolution using Sparse Representations over Learned Dictionaries: Reconstruction of Brain Structure using Electron Microscopy
Tao Hu
Juan Nunez-Iglesias
S. Vitaladevuni
Louis K. Scheffer
Shan Xu
M. Bolorizadeh
H. Hess
R. Fetter
D. Chklovskii
163
8
0
01 Oct 2012
Are You Imitating Me? Unsupervised Sparse Modeling for Group Activity
  Analysis from a Single Video
Are You Imitating Me? Unsupervised Sparse Modeling for Group Activity Analysis from a Single Video
Zhongwei Tang
Alexey Castrodad
Mariano Tepper
Guillermo Sapiro
41
2
0
27 Aug 2012
Kernelized Supervised Dictionary Learning
M. Gangeh
A. Ghodsi
M. Kamel
74
78
0
10 Jul 2012
Stochastic Variational Inference
Stochastic Variational Inference
Matt Hoffman
David M. Blei
Chong-Jun Wang
John Paisley
BDL
291
2,631
0
29 Jun 2012
A Convex Relaxation for Weakly Supervised Classifiers
A Convex Relaxation for Weakly Supervised Classifiers
Armand Joulin
Francis R. Bach
WSOD
105
55
0
27 Jun 2012
Poisson noise reduction with non-local PCA
Poisson noise reduction with non-local PCA
Joseph Salmon
Zachary T. Harmany
Charles-Alban Deledalle
Rebecca Willett
181
314
0
02 Jun 2012
Constrained Overcomplete Analysis Operator Learning for Cosparse Signal
  Modelling
Constrained Overcomplete Analysis Operator Learning for Cosparse Signal Modelling
Mehrdad Yaghoobi
Sangnam Nam
Remi Gribonval
Mike E. Davies
83
100
0
18 May 2012
TIGRESS: Trustful Inference of Gene REgulation using Stability Selection
TIGRESS: Trustful Inference of Gene REgulation using Stability Selection
Anne-Claire Haury
F. Mordelet
Paola Vera-Licona
Jean-Philippe Vert
81
402
0
06 May 2012
Analysis Operator Learning and Its Application to Image Reconstruction
Analysis Operator Learning and Its Application to Image Reconstruction
S. Hawe
M. Kleinsteuber
Klaus Diepold
101
159
0
24 Apr 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
125
44
0
20 Apr 2012
Online Discriminative Dictionary Learning for Image Classification Based
  on Block-Coordinate Descent Method
Online Discriminative Dictionary Learning for Image Classification Based on Block-Coordinate Descent Method
Shu Kong
Donghui Wang
45
5
0
05 Mar 2012
Truncated Power Method for Sparse Eigenvalue Problems
Truncated Power Method for Sparse Eigenvalue Problems
Xiao-Tong Yuan
Tong Zhang
165
331
0
12 Dec 2011
Blind calibration for compressed sensing by convex optimization
Blind calibration for compressed sensing by convex optimization
Rémi Gribonval
G. Chardon
L. Daudet
89
72
0
30 Nov 2011
Learning with Submodular Functions: A Convex Optimization Perspective
Learning with Submodular Functions: A Convex Optimization Perspective
Francis R. Bach
183
479
0
28 Nov 2011
Automatic Relevance Determination in Nonnegative Matrix Factorization
  with the β-Divergence
Automatic Relevance Determination in Nonnegative Matrix Factorization with the β-Divergence
Vincent Y. F. Tan
Cédric Févotte
133
222
0
25 Nov 2011
Robust PCA as Bilinear Decomposition with Outlier-Sparsity
  Regularization
Robust PCA as Bilinear Decomposition with Outlier-Sparsity Regularization
Gonzalo Mateos
G. Giannakis
92
109
0
08 Nov 2011
Learning Hierarchical and Topographic Dictionaries with Structured
  Sparsity
Learning Hierarchical and Topographic Dictionaries with Structured Sparsity
Julien Mairal
Rodolphe Jenatton
G. Obozinski
Francis R. Bach
71
18
0
20 Oct 2011
Sparse Image Representation with Epitomes
Sparse Image Representation with Epitomes
Louise Benoît
Julien Mairal
Francis R. Bach
Jean Ponce
87
29
0
13 Oct 2011
An MDL framework for sparse coding and dictionary learning
An MDL framework for sparse coding and dictionary learning
Ignacio Francisco Ramírez Paulino
Guillermo Sapiro
121
57
0
11 Oct 2011
Simultaneous Codeword Optimization (SimCO) for Dictionary Update and
  Learning
Simultaneous Codeword Optimization (SimCO) for Dictionary Update and Learning
Wei Dai
Tao Xu
Wenwu Wang
106
123
0
24 Sep 2011
Structured sparsity through convex optimization
Structured sparsity through convex optimization
Francis R. Bach
Rodolphe Jenatton
Julien Mairal
G. Obozinski
281
325
0
12 Sep 2011
Nonconvex proximal splitting: batch and incremental algorithms
Nonconvex proximal splitting: batch and incremental algorithms
S. Sra
31
11
0
01 Sep 2011
Optimization with Sparsity-Inducing Penalties
Optimization with Sparsity-Inducing Penalties
Francis R. Bach
Rodolphe Jenatton
Julien Mairal
G. Obozinski
247
1,058
0
03 Aug 2011
The group fused Lasso for multiple change-point detection
The group fused Lasso for multiple change-point detection
K. Bleakley
Jean-Philippe Vert
114
181
0
21 Jun 2011
Online algorithms for Nonnegative Matrix Factorization with the
  Itakura-Saito divergence
Online algorithms for Nonnegative Matrix Factorization with the Itakura-Saito divergence
A. Lefèvre
Francis R. Bach
Cédric Févotte
90
97
0
21 Jun 2011
Multiscale Geometric Methods for Data Sets II: Geometric
  Multi-Resolution Analysis
Multiscale Geometric Methods for Data Sets II: Geometric Multi-Resolution Analysis
W. K. Allard
Guangliang Chen
Mauro Maggioni
135
77
0
25 May 2011
Convex and Network Flow Optimization for Structured Sparsity
Convex and Network Flow Optimization for Structured Sparsity
Julien Mairal
Rodolphe Jenatton
G. Obozinski
Francis R. Bach
248
109
0
11 Apr 2011
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