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Multi-Layer Convolutional Sparse Modeling: Pursuit and Dictionary
  Learning
v1v2 (latest)

Multi-Layer Convolutional Sparse Modeling: Pursuit and Dictionary Learning

29 August 2017
Jeremias Sulam
Vardan Papyan
Yaniv Romano
Michael Elad
ArXiv (abs)PDFHTML

Papers citing "Multi-Layer Convolutional Sparse Modeling: Pursuit and Dictionary Learning"

15 / 15 papers shown
Title
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
82
27
0
31 Aug 2017
Convolutional Dictionary Learning via Local Processing
Convolutional Dictionary Learning via Local Processing
Vardan Papyan
Yaniv Romano
Jeremias Sulam
Michael Elad
59
142
0
09 May 2017
A Probabilistic Framework for Deep Learning
A Probabilistic Framework for Deep Learning
Ankit B. Patel
M. T. Nguyen
Richard G. Baraniuk
BDL
115
68
0
06 Dec 2016
Convolutional Neural Networks Analyzed via Convolutional Sparse Coding
Convolutional Neural Networks Analyzed via Convolutional Sparse Coding
Vardan Papyan
Yaniv Romano
Michael Elad
91
286
0
27 Jul 2016
Maximal Sparsity with Deep Networks?
Maximal Sparsity with Deep Networks?
Bo Xin
Yizhou Wang
Wen Gao
David Wipf
3DPC
70
167
0
05 May 2016
Trainlets: Dictionary Learning in High Dimensions
Trainlets: Dictionary Learning in High Dimensions
Jeremias Sulam
Boaz Ophir
M. Zibulevsky
Michael Elad
152
103
0
31 Jan 2016
On the Expressive Power of Deep Learning: A Tensor Analysis
On the Expressive Power of Deep Learning: A Tensor Analysis
Nadav Cohen
Or Sharir
Amnon Shashua
81
471
0
16 Sep 2015
Flexible Multi-layer Sparse Approximations of Matrices and Applications
Flexible Multi-layer Sparse Approximations of Matrices and Applications
Luc Le Magoarou
Rémi Gribonval
63
49
0
24 Jun 2015
Deep Neural Networks with Random Gaussian Weights: A Universal
  Classification Strategy?
Deep Neural Networks with Random Gaussian Weights: A Universal Classification Strategy?
Raja Giryes
Guillermo Sapiro
A. Bronstein
104
187
0
30 Apr 2015
A Probabilistic Theory of Deep Learning
A Probabilistic Theory of Deep Learning
Ankit B. Patel
M. T. Nguyen
Richard G. Baraniuk
BDLOODUQCV
82
89
0
02 Apr 2015
Unsupervised Feature Learning by Deep Sparse Coding
Unsupervised Feature Learning by Deep Sparse Coding
Yunlong He
Koray Kavukcuoglu
Yun Wang
Arthur Szlam
Yanjun Qi
SSL
80
67
0
20 Dec 2013
k-Sparse Autoencoders
k-Sparse Autoencoders
Alireza Makhzani
Brendan J. Frey
95
454
0
19 Dec 2013
Pedestrian Detection with Unsupervised Multi-Stage Feature Learning
Pedestrian Detection with Unsupervised Multi-Stage Feature Learning
P. Sermanet
Koray Kavukcuoglu
Soumith Chintala
Yann LeCun
SSL
98
828
0
01 Dec 2012
Invariant Scattering Convolution Networks
Invariant Scattering Convolution Networks
Joan Bruna
S. Mallat
127
1,278
0
05 Mar 2012
Convolutional Matching Pursuit and Dictionary Training
Convolutional Matching Pursuit and Dictionary Training
Arthur Szlam
Koray Kavukcuoglu
Yann LeCun
102
48
0
03 Oct 2010
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