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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
Compressive Statistical Learning with Random Feature Moments
Compressive Statistical Learning with Random Feature Moments
Rémi Gribonval
Gilles Blanchard
Nicolas Keriven
Y. Traonmilin
173
50
0
22 Jun 2017
Scalable Online Convolutional Sparse Coding
Scalable Online Convolutional Sparse Coding
Yaqing Wang
Quanming Yao
James T. Kwok
L. Ni
103
34
0
21 Jun 2017
Online Convolutional Dictionary Learning for Multimodal Imaging
Online Convolutional Dictionary Learning for Multimodal Imaging
Kévin Degraux
Ulugbek S. Kamilov
P. Boufounos
Dehong Liu
62
27
0
13 Jun 2017
Multiple Instance Dictionary Learning for Beat-to-Beat Heart Rate
  Monitoring from Ballistocardiograms
Multiple Instance Dictionary Learning for Beat-to-Beat Heart Rate Monitoring from Ballistocardiograms
Changzhe Jiao
B. Su
Princess Lyons
Alina Zare
K. C. Ho
M. Skubic
13
27
0
11 Jun 2017
Collaborative Summarization of Topic-Related Videos
Collaborative Summarization of Topic-Related Videos
Yikang Shen
Amit K. Roy-Chowdhury
EgoV
77
79
0
09 Jun 2017
Understanding the Learned Iterative Soft Thresholding Algorithm with
  matrix factorization
Understanding the Learned Iterative Soft Thresholding Algorithm with matrix factorization
Thomas Moreau
Joan Bruna
72
15
0
02 Jun 2017
DICOD: Distributed Convolutional Sparse Coding
DICOD: Distributed Convolutional Sparse Coding
Thomas Moreau
L. Oudre
Nicolas Vayatis
57
0
0
29 May 2017
Learning the Morphology of Brain Signals Using Alpha-Stable
  Convolutional Sparse Coding
Learning the Morphology of Brain Signals Using Alpha-Stable Convolutional Sparse Coding
M. Jas
Tom Dupré la Tour
Umut Simsekli
Alexandre Gramfort
55
44
0
22 May 2017
A Unified Framework for Stochastic Matrix Factorization via Variance
  Reduction
A Unified Framework for Stochastic Matrix Factorization via Variance Reduction
Renbo Zhao
W. Haskell
Jiashi Feng
20
0
0
19 May 2017
Discriminative Nonlinear Analysis Operator Learning: When Cosparse Model
  Meets Image Classification
Discriminative Nonlinear Analysis Operator Learning: When Cosparse Model Meets Image Classification
Zaidao Wen
B. Hou
L. Jiao
85
11
0
30 Apr 2017
Catalyst Acceleration for Gradient-Based Non-Convex Optimization
Catalyst Acceleration for Gradient-Based Non-Convex Optimization
Courtney Paquette
Hongzhou Lin
Dmitriy Drusvyatskiy
Julien Mairal
Zaïd Harchaoui
ODL
90
40
0
31 Mar 2017
PWLS-ULTRA: An Efficient Clustering and Learning-Based Approach for
  Low-Dose 3D CT Image Reconstruction
PWLS-ULTRA: An Efficient Clustering and Learning-Based Approach for Low-Dose 3D CT Image Reconstruction
Xuehang Zheng
S. Ravishankar
Y. Long
Jeffrey A. Fessler
85
85
0
27 Mar 2017
Online Multilinear Dictionary Learning
Online Multilinear Dictionary Learning
Thiernithi Variddhisai
Danilo P. Mandic
65
2
0
07 Mar 2017
An Optimization Framework with Flexible Inexact Inner Iterations for
  Nonconvex and Nonsmooth Programming
An Optimization Framework with Flexible Inexact Inner Iterations for Nonconvex and Nonsmooth Programming
Yiyang Wang
Risheng Liu
Xiaoliang Song
Zhixun Su
70
1
0
28 Feb 2017
Observable dictionary learning for high-dimensional statistical
  inference
Observable dictionary learning for high-dimensional statistical inference
L. Mathelin
K. Kasper
H. Abou-Kandil
35
17
0
17 Feb 2017
Supervised Deep Sparse Coding Networks
Supervised Deep Sparse Coding Networks
Xiaoxia Sun
Nasser M. Nasrabadi
T. Tran
BDL
94
15
0
29 Jan 2017
Neurogenesis-Inspired Dictionary Learning: Online Model Adaption in a
  Changing World
Neurogenesis-Inspired Dictionary Learning: Online Model Adaption in a Changing World
S. Garg
Irina Rish
Guillermo Cecchi
A. Lozano
OffRLCLL
117
6
0
22 Jan 2017
Stochastic Subsampling for Factorizing Huge Matrices
Stochastic Subsampling for Factorizing Huge Matrices
A. Mensch
Julien Mairal
Bertrand Thirion
Gaël Varoquaux
72
30
0
19 Jan 2017
Recommendation under Capacity Constraints
Recommendation under Capacity Constraints
Konstantina Christakopoulou
Jaya Kawale
A. Banerjee
30
1
0
18 Jan 2017
Boosting Dictionary Learning with Error Codes
Boosting Dictionary Learning with Error Codes
Yigit Oktar
Mehmet Türkan
28
0
0
15 Jan 2017
Dictionary Learning from Incomplete Data
Dictionary Learning from Incomplete Data
Valeriya Naumova
Karin Schnass
59
11
0
13 Jan 2017
Online Learning Sensing Matrix and Sparsifying Dictionary Simultaneously
  for Compressive Sensing
Online Learning Sensing Matrix and Sparsifying Dictionary Simultaneously for Compressive Sensing
Tao Hong
Zhihui Zhu
23
0
0
04 Jan 2017
Distributed Dictionary Learning
Distributed Dictionary Learning
Amir Daneshmand
G. Scutari
F. Facchinei
FedML
53
9
0
21 Dec 2016
Sparse Coding of Neural Word Embeddings for Multilingual Sequence
  Labeling
Sparse Coding of Neural Word Embeddings for Multilingual Sequence Labeling
Gábor Berend
26
20
0
21 Dec 2016
A Data-Driven Compressive Sensing Framework Tailored For
  Energy-Efficient Wearable Sensing
A Data-Driven Compressive Sensing Framework Tailored For Energy-Efficient Wearable Sensing
Kai Xu
Yixing Li
Fengbo Ren
37
9
0
15 Dec 2016
Sparse Factorization Layers for Neural Networks with Limited Supervision
Sparse Factorization Layers for Neural Networks with Limited Supervision
Parker A. Koch
Jason J. Corso
47
2
0
14 Dec 2016
Sparse Geometric Representation Through Local Shape Probing
Sparse Geometric Representation Through Local Shape Probing
Julie Digne
S. Valette
R. Chaine
63
31
0
07 Dec 2016
Subsampled online matrix factorization with convergence guarantees
Subsampled online matrix factorization with convergence guarantees
A. Mensch
Julien Mairal
Gaël Varoquaux
Bertrand Thirion
31
2
0
30 Nov 2016
Low-rank and Adaptive Sparse Signal (LASSI) Models for Highly
  Accelerated Dynamic Imaging
Low-rank and Adaptive Sparse Signal (LASSI) Models for Highly Accelerated Dynamic Imaging
S. Ravishankar
Brian E. Moore
R. Nadakuditi
Jeffrey A. Fessler
88
71
0
13 Nov 2016
An Information-Theoretic Framework for Fast and Robust Unsupervised
  Learning via Neural Population Infomax
An Information-Theoretic Framework for Fast and Robust Unsupervised Learning via Neural Population Infomax
Wentao Huang
Kechen Zhang
45
5
0
07 Nov 2016
Adaptive Geometric Multiscale Approximations for Intrinsically
  Low-dimensional Data
Adaptive Geometric Multiscale Approximations for Intrinsically Low-dimensional Data
Wenjing Liao
Mauro Maggioni
108
20
0
03 Nov 2016
Sliding Dictionary Based Sparse Representation For Action Recognition
Sliding Dictionary Based Sparse Representation For Action Recognition
Yashas Annadani
D. L. Rakshith
Soma Biswas
23
7
0
01 Nov 2016
Fast Low-rank Shared Dictionary Learning for Image Classification
Fast Low-rank Shared Dictionary Learning for Image Classification
T. Vu
V. Monga
OOD
121
159
0
27 Oct 2016
Low-rank and Sparse Soft Targets to Learn Better DNN Acoustic Models
Low-rank and Sparse Soft Targets to Learn Better DNN Acoustic Models
Pranay Dighe
Afsaneh Asaei
H. Bourlard
21
9
0
18 Oct 2016
Assisted Dictionary Learning for fMRI Data Analysis
Assisted Dictionary Learning for fMRI Data Analysis
Manuel Morante Moreno
Y. Kopsinis
Eleftherios Kofidis
Christos Chatzichristos
Sergios Theodoridis
MedIm
16
3
0
11 Oct 2016
Truncated Variational Expectation Maximization
Truncated Variational Expectation Maximization
J. Lucke
71
12
0
10 Oct 2016
An Efficient Method for Robust Projection Matrix Design
An Efficient Method for Robust Projection Matrix Design
Tao Hong
Zhihui Zhu
60
23
0
27 Sep 2016
Online Categorical Subspace Learning for Sketching Big Data with Misses
Online Categorical Subspace Learning for Sketching Big Data with Misses
Yanning Shen
Morteza Mardani
G. Giannakis
69
16
0
27 Sep 2016
Tracking Tensor Subspaces with Informative Random Sampling for Real-Time
  MR Imaging
Tracking Tensor Subspaces with Informative Random Sampling for Real-Time MR Imaging
Morteza Mardani
G. Giannakis
K. Uğurbil
47
10
0
14 Sep 2016
Structured Sparse Principal Components Analysis with the TV-Elastic Net
  penalty
Structured Sparse Principal Components Analysis with the TV-Elastic Net penalty
A. de Pierrefeu
Tommy Löfstedt
F. Hadj-Selem
Mathieu Dubois
P. Ciuciu
V. Frouin
Edouard Duchesnay
CML
166
21
0
06 Sep 2016
Understanding Trainable Sparse Coding via Matrix Factorization
Understanding Trainable Sparse Coding via Matrix Factorization
Thomas Moreau
Joan Bruna
74
45
0
01 Sep 2016
Online Feature Selection with Group Structure Analysis
Online Feature Selection with Group Structure Analysis
Jing Wang
Meng Wang
Peipei Li
Luoqi Liu
Zhong-Qiu Zhao
Xuegang Hu
Xindong Wu
58
74
0
21 Aug 2016
Globally Variance-Constrained Sparse Representation and Its Application
  in Image Set Coding
Globally Variance-Constrained Sparse Representation and Its Application in Image Set Coding
Xianguo Zhang
Jiarui Sun
Siwei Ma
Zhouchen Lin
Jian Zhang
Shiqi Wang
Wen Gao
40
9
0
17 Aug 2016
Online Nonnegative Matrix Factorization with General Divergences
Online Nonnegative Matrix Factorization with General Divergences
Renbo Zhao
Vincent Y. F. Tan
Huan Xu
103
29
0
30 Jul 2016
De-Hashing: Server-Side Context-Aware Feature Reconstruction for Mobile
  Visual Search
De-Hashing: Server-Side Context-Aware Feature Reconstruction for Mobile Visual Search
Y. Kuo
Winston H. Hsu
25
4
0
29 Jun 2016
A Class of Parallel Doubly Stochastic Algorithms for Large-Scale
  Learning
A Class of Parallel Doubly Stochastic Algorithms for Large-Scale Learning
Aryan Mokhtari
Alec Koppel
Alejandro Ribeiro
71
14
0
15 Jun 2016
The Learning and Prediction of Application-level Traffic Data in
  Cellular Networks
The Learning and Prediction of Application-level Traffic Data in Cellular Networks
Rongpeng Li
Zhifeng Zhao
Jianchao Zheng
Chengli Mei
Yueming Cai
Honggang Zhang
58
118
0
15 Jun 2016
Machine Learning Techniques and Applications For Ground-based Image
  Analysis
Machine Learning Techniques and Applications For Ground-based Image Analysis
Soumyabrata Dev
Bihan Wen
Y. Lee
Stefan Winkler
21
14
0
09 Jun 2016
What is the Best Feature Learning Procedure in Hierarchical Recognition
  Architectures?
What is the Best Feature Learning Procedure in Hierarchical Recognition Architectures?
Kevin Jarrett
Koray Kavukcuoglu
Karol Gregor
Yann LeCun
BDL
23
1
0
05 Jun 2016
Provable Efficient Online Matrix Completion via Non-convex Stochastic
  Gradient Descent
Provable Efficient Online Matrix Completion via Non-convex Stochastic Gradient Descent
Chi Jin
Sham Kakade
Praneeth Netrapalli
97
82
0
26 May 2016
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