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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
ArXivPDFHTML

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

50 / 115 papers shown
Title
Audio Bank: A High-Level Acoustic Signal Representation for Audio Event
  Recognition
Audio Bank: A High-Level Acoustic Signal Representation for Audio Event Recognition
Tushar Sandhan
Sukanya Sonowal
J. Choi
14
8
0
11 Apr 2023
Cloud K-SVD for Image Denoising
Cloud K-SVD for Image Denoising
Christian Marius Lillelund
Henrik Bagger Jensen
Christian Fischer Pedersen
18
1
0
01 Mar 2023
Hiding Data Helps: On the Benefits of Masking for Sparse Coding
Hiding Data Helps: On the Benefits of Masking for Sparse Coding
Muthuraman Chidambaram
Chenwei Wu
Yu Cheng
Rong Ge
18
0
0
24 Feb 2023
Invariant Lipschitz Bandits: A Side Observation Approach
Invariant Lipschitz Bandits: A Side Observation Approach
Nam-Phuong Tran
Long Tran-Thanh
47
1
0
14 Dec 2022
Gradient-based Bi-level Optimization for Deep Learning: A Survey
Gradient-based Bi-level Optimization for Deep Learning: A Survey
Can Chen
Xiangshan Chen
Chen-li Ma
Zixuan Liu
Xue Liu
86
35
0
24 Jul 2022
Majorization-minimization for Sparse Nonnegative Matrix Factorization
  with the $β$-divergence
Majorization-minimization for Sparse Nonnegative Matrix Factorization with the βββ-divergence
Arthur Marmin
J. H. D. M. Goulart
Cédric Févotte
12
7
0
13 Jul 2022
Low-Rank Mirror-Prox for Nonsmooth and Low-Rank Matrix Optimization Problems
Low-Rank Mirror-Prox for Nonsmooth and Low-Rank Matrix Optimization Problems
Dan Garber
Atara Kaplan
16
0
0
23 Jun 2022
Supervised Dictionary Learning with Auxiliary Covariates
Supervised Dictionary Learning with Auxiliary Covariates
Joo-Hyun Lee
Hanbaek Lyu
W. Yao
22
1
0
14 Jun 2022
Hybrid ISTA: Unfolding ISTA With Convergence Guarantees Using Free-Form
  Deep Neural Networks
Hybrid ISTA: Unfolding ISTA With Convergence Guarantees Using Free-Form Deep Neural Networks
Ziyang Zheng
Wenrui Dai
Duoduo Xue
Chenglin Li
Junni Zou
H. Xiong
34
17
0
25 Apr 2022
Low-Rank Extragradient Method for Nonsmooth and Low-Rank Matrix Optimization Problems
Low-Rank Extragradient Method for Nonsmooth and Low-Rank Matrix Optimization Problems
Dan Garber
Atara Kaplan
13
5
0
08 Feb 2022
Data Harmonisation for Information Fusion in Digital Healthcare: A
  State-of-the-Art Systematic Review, Meta-Analysis and Future Research
  Directions
Data Harmonisation for Information Fusion in Digital Healthcare: A State-of-the-Art Systematic Review, Meta-Analysis and Future Research Directions
Yang Nan
Javier Del Ser
Simon Walsh
Carola Schönlieb
M. Roberts
...
Philippe Lambin
Leonor Cerdá Alberich
L. Martí-Bonmatí
Francisco Herrera
Guang Yang
34
106
0
17 Jan 2022
Dictionary-based Low-Rank Approximations and the Mixed Sparse Coding
  problem
Dictionary-based Low-Rank Approximations and the Mixed Sparse Coding problem
Jérémy E. Cohen
14
0
0
24 Nov 2021
On audio enhancement via online non-negative matrix factorization
On audio enhancement via online non-negative matrix factorization
A. Sack
Wenzhao Jiang
Michael Perlmutter
Palina Salanevich
Deanna Needell
17
4
0
07 Oct 2021
Is Attention Better Than Matrix Decomposition?
Is Attention Better Than Matrix Decomposition?
Zhengyang Geng
Meng-Hao Guo
Hongxu Chen
Xia Li
Ke Wei
Zhouchen Lin
59
137
0
09 Sep 2021
Robust Event Detection based on Spatio-Temporal Latent Action Unit using
  Skeletal Information
Robust Event Detection based on Spatio-Temporal Latent Action Unit using Skeletal Information
Hao Xing
Yuxuan Xue
Mingchuan Zhou
Darius Burschka
22
4
0
06 Sep 2021
A Farewell to the Bias-Variance Tradeoff? An Overview of the Theory of
  Overparameterized Machine Learning
A Farewell to the Bias-Variance Tradeoff? An Overview of the Theory of Overparameterized Machine Learning
Yehuda Dar
Vidya Muthukumar
Richard G. Baraniuk
29
71
0
06 Sep 2021
Tensor Methods in Computer Vision and Deep Learning
Tensor Methods in Computer Vision and Deep Learning
Yannis Panagakis
Jean Kossaifi
Grigorios G. Chrysos
James Oldfield
M. Nicolaou
Anima Anandkumar
S. Zafeiriou
24
119
0
07 Jul 2021
Understanding approximate and unrolled dictionary learning for pattern
  recovery
Understanding approximate and unrolled dictionary learning for pattern recovery
Benoit Malézieux
Thomas Moreau
M. Kowalski
MU
17
10
0
11 Jun 2021
MarioNette: Self-Supervised Sprite Learning
MarioNette: Self-Supervised Sprite Learning
Dmitriy Smirnov
Michael Gharbi
Matthew Fisher
Vitor Campagnolo Guizilini
Alexei A. Efros
Justin Solomon
SSL
OCL
74
37
0
29 Apr 2021
Efficient Sparse Coding using Hierarchical Riemannian Pursuit
Efficient Sparse Coding using Hierarchical Riemannian Pursuit
Ye Xue
Vincent K. N. Lau
Songfu Cai
23
3
0
21 Apr 2021
Modeling Dynamic User Interests: A Neural Matrix Factorization Approach
Modeling Dynamic User Interests: A Neural Matrix Factorization Approach
Paramveer S. Dhillon
Sinan Aral
AI4TS
19
19
0
12 Feb 2021
mpNet: variable depth unfolded neural network for massive MIMO channel
  estimation
mpNet: variable depth unfolded neural network for massive MIMO channel estimation
Taha Yassine
Luc Le Magoarou
9
25
0
07 Aug 2020
Spectral Superresolution of Multispectral Imagery with Joint Sparse and
  Low-Rank Learning
Spectral Superresolution of Multispectral Imagery with Joint Sparse and Low-Rank Learning
Lianru Gao
Danfeng Hong
Jing Yao
Bing Zhang
Paolo Gamba
Jocelyn Chanussot
62
125
0
28 Jul 2020
Feature Purification: How Adversarial Training Performs Robust Deep
  Learning
Feature Purification: How Adversarial Training Performs Robust Deep Learning
Zeyuan Allen-Zhu
Yuanzhi Li
MLT
AAML
29
147
0
20 May 2020
Hyperspectral Image Classification Based on Sparse Modeling of Spectral
  Blocks
Hyperspectral Image Classification Based on Sparse Modeling of Spectral Blocks
Saeideh Ghanbari Azar
S. Meshgini
T. Y. Rezaii
S. Beheshti
11
17
0
17 May 2020
Second-order Conditional Gradient Sliding
Second-order Conditional Gradient Sliding
Alejandro Carderera
Sebastian Pokutta
19
12
0
20 Feb 2020
Analysis of the Optimization Landscapes for Overcomplete Representation
  Learning
Analysis of the Optimization Landscapes for Overcomplete Representation Learning
Qing Qu
Yuexiang Zhai
Xiao Li
Yuqian Zhang
Zhihui Zhu
20
9
0
05 Dec 2019
Online matrix factorization for Markovian data and applications to
  Network Dictionary Learning
Online matrix factorization for Markovian data and applications to Network Dictionary Learning
Hanbaek Lyu
Deanna Needell
Laura Balzano
19
26
0
05 Nov 2019
Video Rain/Snow Removal by Transformed Online Multiscale Convolutional
  Sparse Coding
Video Rain/Snow Removal by Transformed Online Multiscale Convolutional Sparse Coding
Minghan Li
Xiangyong Cao
Qian Zhao
Lei Zhang
Chenqiang Gao
Deyu Meng
11
10
0
13 Sep 2019
Scalable Block-Diagonal Locality-Constrained Projective Dictionary
  Learning
Scalable Block-Diagonal Locality-Constrained Projective Dictionary Learning
Zhao Zhang
Weiming Jiang
Zheng-Wei Zhang
Sheng Li
Guangcan Liu
Jie Qin
11
55
0
25 May 2019
An Effective Two-Branch Model-Based Deep Network for Single Image
  Deraining
An Effective Two-Branch Model-Based Deep Network for Single Image Deraining
Yinglong Wang
Dong Gong
Jie Yang
Javen Qinfeng Shi
Anton Van Den Hengel
Dehua Xie
Bing Zeng
19
9
0
14 May 2019
Fast GPU-Enabled Color Normalization for Digital Pathology
Fast GPU-Enabled Color Normalization for Digital Pathology
Goutham Ramakrishnan
Deepak Anand
A. Sethi
OOD
MedIm
14
36
0
10 Jan 2019
Extracting representations of cognition across neuroimaging studies
  improves brain decoding
Extracting representations of cognition across neuroimaging studies improves brain decoding
A. Mensch
Julien Mairal
B. Thirion
Gaël Varoquaux
AI4CE
24
15
0
17 Sep 2018
Decentralized Dictionary Learning Over Time-Varying Digraphs
Decentralized Dictionary Learning Over Time-Varying Digraphs
Amir Daneshmand
Ying Sun
G. Scutari
F. Facchinei
Brian M. Sadler
FedML
21
10
0
17 Aug 2018
Higher Order Langevin Monte Carlo Algorithm
Higher Order Langevin Monte Carlo Algorithm
Sotirios Sabanis
Ying Zhang
11
22
0
02 Aug 2018
Global Optimality in Separable Dictionary Learning with Applications to
  the Analysis of Diffusion MRI
Global Optimality in Separable Dictionary Learning with Applications to the Analysis of Diffusion MRI
Evan Schwab
B. Haeffele
René Vidal
N. Charon
OOD
MedIm
19
2
0
15 Jul 2018
A comprehensive study of sparse representation techniques for offline
  signature verification
A comprehensive study of sparse representation techniques for offline signature verification
E. Zois
Dimitrios Tsourounis
Ilias Theodorakopoulos
A. Kesidis
G. Economou
15
32
0
13 Jul 2018
Multimodal Image Denoising based on Coupled Dictionary Learning
Multimodal Image Denoising based on Coupled Dictionary Learning
P. Song
M. Rodrigues
14
6
0
26 Jun 2018
Convolutional sparse coding for capturing high speed video content
Convolutional sparse coding for capturing high speed video content
Ana Serrano
Elena Garces
Diego F. F. Gutierrez
B. Masiá
13
7
0
13 Jun 2018
On Multi-Layer Basis Pursuit, Efficient Algorithms and Convolutional
  Neural Networks
On Multi-Layer Basis Pursuit, Efficient Algorithms and Convolutional Neural Networks
Jeremias Sulam
Aviad Aberdam
Amir Beck
Michael Elad
19
92
0
02 Jun 2018
Sparse Gaussian ICA
Sparse Gaussian ICA
Nilin Abrahamsen
Philippe Rigollet
CML
17
3
0
02 Apr 2018
Patchwise object tracking via structural local sparse appearance model
Patchwise object tracking via structural local sparse appearance model
Hossein Kashiyani
S. B. Shokouhi
9
2
0
16 Mar 2018
End-to-End Fine-Grained Action Segmentation and Recognition Using
  Conditional Random Field Models and Discriminative Sparse Coding
End-to-End Fine-Grained Action Segmentation and Recognition Using Conditional Random Field Models and Discriminative Sparse Coding
E. Mavroudi
Divya Bhaskara
S. Sefati
Haider Ali
René Vidal
CML
24
27
0
29 Jan 2018
Supervised and Unsupervised Speech Enhancement Using Nonnegative Matrix
  Factorization
Supervised and Unsupervised Speech Enhancement Using Nonnegative Matrix Factorization
Nasser Mohammadiha
Paris Smaragdis
A. Leijon
11
387
0
15 Sep 2017
CNN-Based Projected Gradient Descent for Consistent Image Reconstruction
CNN-Based Projected Gradient Descent for Consistent Image Reconstruction
Harshit Gupta
Kyong Hwan Jin
H. Nguyen
Michael T. McCann
M. Unser
3DV
30
361
0
06 Sep 2017
First and Second Order Methods for Online Convolutional Dictionary
  Learning
First and Second Order Methods for Online Convolutional Dictionary Learning
Jialin Liu
Cristina Garcia Cardona
B. Wohlberg
W. Yin
22
27
0
31 Aug 2017
Wasserstein Dictionary Learning: Optimal Transport-based unsupervised
  non-linear dictionary learning
Wasserstein Dictionary Learning: Optimal Transport-based unsupervised non-linear dictionary learning
M. Schmitz
Matthieu Heitz
Nicolas Bonneel
Fred-Maurice Ngole-Mboula
D. Coeurjolly
Marco Cuturi
Gabriel Peyré
Jean-Luc Starck
OT
36
134
0
07 Aug 2017
Collaborative Summarization of Topic-Related Videos
Collaborative Summarization of Topic-Related Videos
Rameswar Panda
A. Roy-Chowdhury
EgoV
11
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
14
0
0
29 May 2017
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