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Global and Local Uncertainty Principles for Signals on Graphs

Global and Local Uncertainty Principles for Signals on Graphs

10 March 2016
Nathanael Perraudin
B. Ricaud
D. Shuman
P. Vandergheynst
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Papers citing "Global and Local Uncertainty Principles for Signals on Graphs"

5 / 5 papers shown
Title
Localized Spectral Graph Filter Frames: A Unifying Framework, Survey of
  Design Considerations, and Numerical Comparison (Extended Cut)
Localized Spectral Graph Filter Frames: A Unifying Framework, Survey of Design Considerations, and Numerical Comparison (Extended Cut)
D. Shuman
23
43
0
19 Jun 2020
Sampling Signals on Graphs: From Theory to Applications
Sampling Signals on Graphs: From Theory to Applications
Yuichi Tanaka
Yonina C. Eldar
Antonio Ortega
Gene Cheung
22
10
0
09 Mar 2020
DeepSphere: Efficient spherical Convolutional Neural Network with
  HEALPix sampling for cosmological applications
DeepSphere: Efficient spherical Convolutional Neural Network with HEALPix sampling for cosmological applications
Nathanael Perraudin
M. Defferrard
T. Kacprzak
R. Sgier
26
169
0
29 Oct 2018
Convolutional Neural Networks on Graphs with Fast Localized Spectral
  Filtering
Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering
M. Defferrard
Xavier Bresson
P. Vandergheynst
GNN
84
7,579
0
30 Jun 2016
Towards stationary time-vertex signal processing
Towards stationary time-vertex signal processing
Nathanael Perraudin
Andreas Loukas
Francesco Grassi
P. Vandergheynst
33
45
0
22 Jun 2016
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