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Distributed Signal Processing via Chebyshev Polynomial Approximation
v1v2v3 (latest)

Distributed Signal Processing via Chebyshev Polynomial Approximation

22 November 2011
D. Shuman
P. Vandergheynst
D. Kressner
P. Frossard
ArXiv (abs)PDFHTML

Papers citing "Distributed Signal Processing via Chebyshev Polynomial Approximation"

15 / 15 papers shown
Title
Learning Optimal Graph Filters for Clustering of Attributed Graphs
Learning Optimal Graph Filters for Clustering of Attributed Graphs
Meiby Ortiz-Bouza
Selin Aviyente
GNN
102
1
0
09 Nov 2022
Probabilistic partition of unity networks for high-dimensional
  regression problems
Probabilistic partition of unity networks for high-dimensional regression problems
Tiffany Fan
N. Trask
M. DÉlia
Eric F. Darve
58
1
0
06 Oct 2022
Analysis of the Spatio-temporal Dynamics of COVID-19 in Massachusetts
  via Spectral Graph Wavelet Theory
Analysis of the Spatio-temporal Dynamics of COVID-19 in Massachusetts via Spectral Graph Wavelet Theory
R. Geng
Yixian Gao
Hongkun Zhang
Jian Zu
113
6
0
28 Jul 2022
Simplicial Convolutional Filters
Simplicial Convolutional Filters
Maosheng Yang
Elvin Isufi
Michael T. Schaub
G. Leus
93
34
0
27 Jan 2022
Stability of Graph Convolutional Neural Networks to Stochastic
  Perturbations
Stability of Graph Convolutional Neural Networks to Stochastic Perturbations
Zhangyang Gao
Elvin Isufi
Alejandro Ribeiro
GNN
61
25
0
19 Jun 2021
Distributed algorithms to determine eigenvectors of matrices on
  spatially distributed networks
Distributed algorithms to determine eigenvectors of matrices on spatially distributed networks
N. Emirov
Cheng Cheng
Qiyu Sun
Z. Qu
29
4
0
23 Nov 2020
Unrolling of Deep Graph Total Variation for Image Denoising
Unrolling of Deep Graph Total Variation for Image Denoising
Huy Vu
Gene Cheung
Yonina C. Eldar
135
23
0
21 Oct 2020
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
61
45
0
19 Jun 2020
EdgeNets:Edge Varying Graph Neural Networks
EdgeNets:Edge Varying Graph Neural Networks
Elvin Isufi
Fernando Gama
Alejandro Ribeiro
GNN
93
82
0
21 Jan 2020
Multitask learning over graphs: An Approach for Distributed, Streaming
  Machine Learning
Multitask learning over graphs: An Approach for Distributed, Streaming Machine Learning
Roula Nassif
Stefan Vlaski
C. Richard
Jie Chen
Ali H. Sayed
77
74
0
07 Jan 2020
A literature survey of matrix methods for data science
A literature survey of matrix methods for data science
Martin Stoll
65
20
0
17 Dec 2019
$L^γ$-PageRank for Semi-Supervised Learning
LγL^γLγ-PageRank for Semi-Supervised Learning
Esteban Bautista
P. Abry
Paulo Gonçalves
35
15
0
11 Mar 2019
Learning over Multitask Graphs -- Part II: Performance Analysis
Learning over Multitask Graphs -- Part II: Performance Analysis
Roula Nassif
Stefan Vlaski
Cedric Richard
Ali H. Sayed
41
12
0
22 May 2018
Convolutional Neural Network Architectures for Signals Supported on
  Graphs
Convolutional Neural Network Architectures for Signals Supported on Graphs
Fernando Gama
A. Marques
G. Leus
Alejandro Ribeiro
201
288
0
01 May 2018
Fast Approximate Spectral Clustering for Dynamic Networks
Fast Approximate Spectral Clustering for Dynamic Networks
Lionel Martin
Andreas Loukas
P. Vandergheynst
133
18
0
12 Jun 2017
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