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Robust Principal Component Analysis on Graphs

Robust Principal Component Analysis on Graphs

23 April 2015
N. Shahid
Vassilis Kalofolias
Xavier Bresson
M. Bronstein
P. Vandergheynst
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Papers citing "Robust Principal Component Analysis on Graphs"

12 / 12 papers shown
Title
Faster Riemannian Newton-type Optimization by Subsampling and Cubic
  Regularization
Faster Riemannian Newton-type Optimization by Subsampling and Cubic Regularization
Yian Deng
Tingting Mu
28
1
0
22 Feb 2023
Robust PCA for Anomaly Detection and Data Imputation in Seasonal Time
  Series
Robust PCA for Anomaly Detection and Data Imputation in Seasonal Time Series
Hông-Lan Botterman
Julien Roussel
Thomas Morzadec
A. Jabbari
Nicolas Brunel
AI4TS
18
3
0
03 Aug 2022
Network Representation Learning: From Traditional Feature Learning to
  Deep Learning
Network Representation Learning: From Traditional Feature Learning to Deep Learning
Ke Sun
Lei Wang
Bo Xu
Wenhong Zhao
S. Teng
Feng Xia
GNN
25
28
0
07 Mar 2021
Wasserstein-based Graph Alignment
Wasserstein-based Graph Alignment
Hermina Petric Maretic
Mireille El Gheche
Matthias Minder
Giovanni Chierchia
P. Frossard
OT
12
23
0
12 Mar 2020
GOT: An Optimal Transport framework for Graph comparison
GOT: An Optimal Transport framework for Graph comparison
Hermina Petric Maretic
Mireille El Gheche
Giovanni Chierchia
P. Frossard
OT
25
118
0
05 Jun 2019
Efficient Optimization Algorithms for Robust Principal Component
  Analysis and Its Variants
Efficient Optimization Algorithms for Robust Principal Component Analysis and Its Variants
Shiqian Ma
N. Aybat
20
51
0
09 Jun 2018
Laplacian Eigenmaps from Sparse, Noisy Similarity Measurements
Laplacian Eigenmaps from Sparse, Noisy Similarity Measurements
Keith D. Levin
V. Lyzinski
26
14
0
12 Mar 2016
How to learn a graph from smooth signals
How to learn a graph from smooth signals
Vassilis Kalofolias
34
504
0
11 Jan 2016
Decomposition into Low-rank plus Additive Matrices for
  Background/Foreground Separation: A Review for a Comparative Evaluation with
  a Large-Scale Dataset
Decomposition into Low-rank plus Additive Matrices for Background/Foreground Separation: A Review for a Comparative Evaluation with a Large-Scale Dataset
T. Bouwmans
A. Sobral
S. Javed
Soon Ki Jung
E. Zahzah
39
330
0
04 Nov 2015
Linear Shape Deformation Models with Local Support Using Graph-based
  Structured Matrix Factorisation
Linear Shape Deformation Models with Local Support Using Graph-based Structured Matrix Factorisation
Florian Bernard
P. Gemmar
F. Hertel
Jorge M. Gonçalves
J. Thunberg
40
16
0
28 Oct 2015
Linked Component Analysis from Matrices to High Order Tensors:
  Applications to Biomedical Data
Linked Component Analysis from Matrices to High Order Tensors: Applications to Biomedical Data
Guoxu Zhou
Qibin Zhao
Yu Zhang
T. Adalı
Shengli Xie
A. Cichocki
28
182
0
29 Aug 2015
Fast Robust PCA on Graphs
Fast Robust PCA on Graphs
N. Shahid
Nathanael Perraudin
Vassilis Kalofolias
Gilles Puy
P. Vandergheynst
24
109
0
29 Jul 2015
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