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Random sampling of bandlimited signals on graphs
v1v2 (latest)

Random sampling of bandlimited signals on graphs

16 November 2015
Gilles Puy
Nicolas M Tremblay
Rémi Gribonval
P. Vandergheynst
ArXiv (abs)PDFHTML

Papers citing "Random sampling of bandlimited signals on graphs"

14 / 14 papers shown
Title
Compressive Spectral Clustering
Compressive Spectral Clustering
Nicolas M Tremblay
Gilles Puy
Remi Gribonval
P. Vandergheynst
146
114
0
05 Feb 2016
Fast Robust PCA on Graphs
Fast Robust PCA on Graphs
N. Shahid
Nathanael Perraudin
Vassilis Kalofolias
Gilles Puy
P. Vandergheynst
77
109
0
29 Jul 2015
A statistical perspective of sampling scores for linear regression
A statistical perspective of sampling scores for linear regression
Siheng Chen
R. Varma
Aarti Singh
J. Kovacevic
42
13
0
21 Jul 2015
Signal Recovery on Graphs: Random versus Experimentally Designed
  Sampling
Signal Recovery on Graphs: Random versus Experimentally Designed Sampling
Siheng Chen
R. Varma
Aarti Singh
J. Kovacevic
54
34
0
21 Apr 2015
A Probabilistic Interpretation of Sampling Theory of Graph Signals
A Probabilistic Interpretation of Sampling Theory of Graph Signals
Akshay Gadde
Antonio Ortega
98
73
0
23 Mar 2015
Asymptotic Justification of Bandlimited Interpolation of Graph signals
  for Semi-Supervised Learning
Asymptotic Justification of Bandlimited Interpolation of Graph signals for Semi-Supervised Learning
Aamir Anis
Aly El Gamal
A. Avestimehr
Antonio Ortega
118
19
0
14 Feb 2015
Trend Filtering on Graphs
Trend Filtering on Graphs
Yu Wang
James Sharpnack
Alex Smola
Robert Tibshirani
64
243
0
28 Oct 2014
Variable Density Compressed Sensing In MRI. Theoretical vs Heuristic
  Sampling Strategies
Variable Density Compressed Sensing In MRI. Theoretical vs Heuristic Sampling Strategies
N. Chauffert
P. Ciuciu
P. Weiss
55
50
0
25 Jul 2013
An analysis of block sampling strategies in compressed sensing
An analysis of block sampling strategies in compressed sensing
Jérémie Bigot
Claire Boyer
P. Weiss
114
91
0
20 May 2013
Revisiting the Nystrom Method for Improved Large-Scale Machine Learning
Revisiting the Nystrom Method for Improved Large-Scale Machine Learning
Alex Gittens
Michael W. Mahoney
120
416
0
07 Mar 2013
The Emerging Field of Signal Processing on Graphs: Extending
  High-Dimensional Data Analysis to Networks and Other Irregular Domains
The Emerging Field of Signal Processing on Graphs: Extending High-Dimensional Data Analysis to Networks and Other Irregular Domains
D. Shuman
S. K. Narang
P. Frossard
Antonio Ortega
P. Vandergheynst
133
3,979
0
31 Oct 2012
Compact Support Biorthogonal Wavelet Filterbanks for Arbitrary
  Undirected Graphs
Compact Support Biorthogonal Wavelet Filterbanks for Arbitrary Undirected Graphs
S. K. Narang
Antonio Ortega
70
214
0
30 Oct 2012
Stable and robust sampling strategies for compressive imaging
Stable and robust sampling strategies for compressive imaging
Felix Krahmer
Rachel A. Ward
119
186
0
08 Oct 2012
Fast approximation of matrix coherence and statistical leverage
Fast approximation of matrix coherence and statistical leverage
P. Drineas
M. Magdon-Ismail
Michael W. Mahoney
David P. Woodruff
156
534
0
18 Sep 2011
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