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Online Learning for Matrix Factorization and Sparse Coding

Online Learning for Matrix Factorization and Sparse Coding

1 August 2009
Julien Mairal
Francis R. Bach
Jean Ponce
Guillermo Sapiro
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Papers citing "Online Learning for Matrix Factorization and Sparse Coding"

50 / 131 papers shown
Title
Collaborative Summarization of Topic-Related Videos
Collaborative Summarization of Topic-Related Videos
Yikang Shen
A. Roy-Chowdhury
EgoV
19
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
12
15
0
02 Jun 2017
DICOD: Distributed Convolutional Sparse Coding
DICOD: Distributed Convolutional Sparse Coding
Thomas Moreau
L. Oudre
Nicolas Vayatis
19
0
0
29 May 2017
Supervised Deep Sparse Coding Networks
Supervised Deep Sparse Coding Networks
Xiaoxia Sun
Nasser M. Nasrabadi
T. Tran
BDL
19
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
OffRL
CLL
25
6
0
22 Jan 2017
Dictionary Learning from Incomplete Data
Dictionary Learning from Incomplete Data
Valeriya Naumova
Karin Schnass
15
11
0
13 Jan 2017
Sparse Geometric Representation Through Local Shape Probing
Sparse Geometric Representation Through Local Shape Probing
Julie Digne
S. Valette
R. Chaine
25
31
0
07 Dec 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
17
69
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
21
5
0
07 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
16
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
73
157
0
27 Oct 2016
An Efficient Method for Robust Projection Matrix Design
An Efficient Method for Robust Projection Matrix Design
Tao Hong
Zhihui Zhu
21
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
21
16
0
27 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
29
20
0
06 Sep 2016
Understanding Trainable Sparse Coding via Matrix Factorization
Understanding Trainable Sparse Coding via Matrix Factorization
Thomas Moreau
Joan Bruna
18
44
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
34
74
0
21 Aug 2016
Online Nonnegative Matrix Factorization with General Divergences
Online Nonnegative Matrix Factorization with General Divergences
Renbo Zhao
Vincent Y. F. Tan
Huan Xu
23
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
20
4
0
29 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
11
118
0
15 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
16
81
0
26 May 2016
Decentralized Dynamic Discriminative Dictionary Learning
Decentralized Dynamic Discriminative Dictionary Learning
Alec Koppel
Garrett A. Warnell
Ethan Stump
Alejandro Ribeiro
17
35
0
03 May 2016
Online Nonnegative Matrix Factorization with Outliers
Online Nonnegative Matrix Factorization with Outliers
Renbo Zhao
Vincent Y. F. Tan
19
47
0
10 Apr 2016
Sparse Activity and Sparse Connectivity in Supervised Learning
Sparse Activity and Sparse Connectivity in Supervised Learning
Markus Thom
G. Palm
11
49
0
28 Mar 2016
Scalable Image Retrieval by Sparse Product Quantization
Scalable Image Retrieval by Sparse Product Quantization
Q. Ning
Jianke Zhu
Zhiyuan Zhong
Guosheng Lin
Chun-Yen Chen
MQ
22
33
0
15 Mar 2016
A survey of sparse representation: algorithms and applications
A survey of sparse representation: algorithms and applications
Zheng-Wei Zhang
Yong-mei Xu
Jian Yang
Xuelong Li
David C. Zhang
AI4TS
19
984
0
23 Feb 2016
An improved analysis of the ER-SpUD dictionary learning algorithm
An improved analysis of the ER-SpUD dictionary learning algorithm
Jarosław Błasiok
Jelani Nelson
8
13
0
18 Feb 2016
Trainlets: Dictionary Learning in High Dimensions
Trainlets: Dictionary Learning in High Dimensions
Jeremias Sulam
Boaz Ophir
M. Zibulevsky
Michael Elad
84
103
0
31 Jan 2016
Robust Scene Text Recognition Using Sparse Coding based Features
Robust Scene Text Recognition Using Sparse Coding based Features
Da-han Wang
Hanzi Wang
Dong Zhang
Jonathan Li
David Zhang
11
14
0
29 Dec 2015
Plug-and-Play Priors for Bright Field Electron Tomography and Sparse
  Interpolation
Plug-and-Play Priors for Bright Field Electron Tomography and Sparse Interpolation
S. Sreehari
S. Venkatakrishnan
B. Wohlberg
L. Drummy
Jeff P. Simmons
Charles A. Bouman
30
339
0
23 Dec 2015
A Normative Theory of Adaptive Dimensionality Reduction in Neural
  Networks
A Normative Theory of Adaptive Dimensionality Reduction in Neural Networks
Cengiz Pehlevan
D. Chklovskii
9
53
0
30 Nov 2015
FRIST - Flipping and Rotation Invariant Sparsifying Transform Learning
  and Applications
FRIST - Flipping and Rotation Invariant Sparsifying Transform Learning and Applications
B. Wen
S. Ravishankar
Y. Bresler
24
43
0
19 Nov 2015
Predicting distributions with Linearizing Belief Networks
Predicting distributions with Linearizing Belief Networks
Yann N. Dauphin
David Grangier
26
18
0
17 Nov 2015
Online Unmixing of Multitemporal Hyperspectral Images accounting for
  Spectral Variability
Online Unmixing of Multitemporal Hyperspectral Images accounting for Spectral Variability
Pierre-Antoine Thouvenin
N. Dobigeon
J. Tourneret
14
46
0
20 Oct 2015
Global Optimality in Tensor Factorization, Deep Learning, and Beyond
Global Optimality in Tensor Factorization, Deep Learning, and Beyond
B. Haeffele
René Vidal
28
151
0
24 Jun 2015
Histopathological Image Classification using Discriminative
  Feature-oriented Dictionary Learning
Histopathological Image Classification using Discriminative Feature-oriented Dictionary Learning
T. Vu
Hojjat Seyed Mousavi
V. Monga
A. Rao
G. Rao
31
166
0
16 Jun 2015
Online Matrix Factorization via Broyden Updates
Online Matrix Factorization via Broyden Updates
Ömer Deniz Akyıldız
20
2
0
14 Jun 2015
A Tensor-Based Dictionary Learning Approach to Tomographic Image
  Reconstruction
A Tensor-Based Dictionary Learning Approach to Tomographic Image Reconstruction
S. Soltani
M. Kilmer
P. Hansen
14
81
0
08 Jun 2015
Discriminative Bayesian Dictionary Learning for Classification
Discriminative Bayesian Dictionary Learning for Classification
Naveed Akhtar
Faisal Shafait
Ajmal Mian
27
52
0
27 Mar 2015
Convergence radius and sample complexity of ITKM algorithms for
  dictionary learning
Convergence radius and sample complexity of ITKM algorithms for dictionary learning
Karin Schnass
33
39
0
24 Mar 2015
Kernel Task-Driven Dictionary Learning for Hyperspectral Image
  Classification
Kernel Task-Driven Dictionary Learning for Hyperspectral Image Classification
S. Bahrampour
Nasser M. Nasrabadi
A. Ray
Kenneth W. Jenkins
25
14
0
10 Feb 2015
Multimodal Task-Driven Dictionary Learning for Image Classification
Multimodal Task-Driven Dictionary Learning for Image Classification
S. Bahrampour
Nasser M. Nasrabadi
A. Ray
W. Jenkins
41
153
0
04 Feb 2015
Learning from Multiple Sources for Video Summarisation
Learning from Multiple Sources for Video Summarisation
Xiatian Zhu
Chen Change Loy
S. Gong
27
26
0
13 Jan 2015
Efficient Blind Compressed Sensing Using Sparsifying Transforms with
  Convergence Guarantees and Application to MRI
Efficient Blind Compressed Sensing Using Sparsifying Transforms with Convergence Guarantees and Application to MRI
S. Ravishankar
Y. Bresler
MedIm
25
112
0
13 Jan 2015
$\ell_0$ Sparsifying Transform Learning with Efficient Optimal Updates
  and Convergence Guarantees
ℓ0\ell_0ℓ0​ Sparsifying Transform Learning with Efficient Optimal Updates and Convergence Guarantees
S. Ravishankar
Y. Bresler
32
98
0
13 Jan 2015
Sparse Modeling for Image and Vision Processing
Sparse Modeling for Image and Vision Processing
Julien Mairal
Francis R. Bach
Jean Ponce
VLM
45
488
0
12 Nov 2014
KCRC-LCD: Discriminative Kernel Collaborative Representation with
  Locality Constrained Dictionary for Visual Categorization
KCRC-LCD: Discriminative Kernel Collaborative Representation with Locality Constrained Dictionary for Visual Categorization
Weiyang Liu
Zhiding Yu
Lijia Lu
Yandong Wen
Hui Li
Yuexian Zou
9
33
0
17 Oct 2014
Tight convex relaxations for sparse matrix factorization
Tight convex relaxations for sparse matrix factorization
E. Richard
G. Obozinski
Jean-Philippe Vert
59
43
0
19 Jul 2014
Learning computationally efficient dictionaries and their implementation
  as fast transforms
Learning computationally efficient dictionaries and their implementation as fast transforms
Luc Le Magoarou
Rémi Gribonval
29
11
0
20 Jun 2014
Fast and Robust Archetypal Analysis for Representation Learning
Fast and Robust Archetypal Analysis for Representation Learning
Yuansi Chen
Julien Mairal
Zaïd Harchaoui
31
98
0
26 May 2014
Subspace Learning and Imputation for Streaming Big Data Matrices and
  Tensors
Subspace Learning and Imputation for Streaming Big Data Matrices and Tensors
Morteza Mardani
Gonzalo Mateos
G. Giannakis
36
182
0
17 Apr 2014
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