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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
ArXiv (abs)PDFHTML

Papers citing "Robust Principal Component Analysis on Graphs"

32 / 32 papers shown
Title
Learning Spatial-Temporal Regularized Tensor Sparse RPCA for Background
  Subtraction
Learning Spatial-Temporal Regularized Tensor Sparse RPCA for Background Subtraction
B. Alawode
S. Javed
72
4
0
27 Sep 2023
Faster Riemannian Newton-type Optimization by Subsampling and Cubic
  Regularization
Faster Riemannian Newton-type Optimization by Subsampling and Cubic Regularization
Yian Deng
Tingting Mu
47
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
20
3
0
03 Aug 2022
Ensemble Clustering via Co-association Matrix Self-enhancement
Ensemble Clustering via Co-association Matrix Self-enhancement
Yuheng Jia
Sirui Tao
Ran A. Wang
Yongheng Wang
17
29
0
12 May 2022
Bayesian Low-rank Matrix Completion with Dual-graph Embedding: Prior
  Analysis and Tuning-free Inference
Bayesian Low-rank Matrix Completion with Dual-graph Embedding: Prior Analysis and Tuning-free Inference
Y. Chen
Lei Cheng
Yik-Chung Wu
BDL
53
16
0
18 Mar 2022
Self-paced Principal Component Analysis
Self-paced Principal Component Analysis
Zhao Kang
Hongfei Liu
Jiangxin Li
Xiaofeng Zhu
Ling Tian
30
8
0
25 Jun 2021
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
Xiwei Xu
GNN
63
28
0
07 Mar 2021
Matrix Decomposition on Graphs: A Functional View
Matrix Decomposition on Graphs: A Functional View
Abhishek Sharma
M. Ovsjanikov
38
3
0
05 Feb 2021
Learnable Graph-regularization for Matrix Decomposition
Learnable Graph-regularization for Matrix Decomposition
Penglong Zhai
Shihua Zhang
18
2
0
16 Oct 2020
Multi-way Graph Signal Processing on Tensors: Integrative analysis of
  irregular geometries
Multi-way Graph Signal Processing on Tensors: Integrative analysis of irregular geometries
Jay S. Stanley III
Eric C. Chi
Zhengchao Wan
57
24
0
30 Jun 2020
Wasserstein-based Graph Alignment
Wasserstein-based Graph Alignment
Hermina Petric Maretic
Mireille El Gheche
Matthias Minder
Giovanni Chierchia
P. Frossard
OT
53
23
0
12 Mar 2020
Matrix Normal PCA for Interpretable Dimension Reduction and Graphical
  Noise Modeling
Matrix Normal PCA for Interpretable Dimension Reduction and Graphical Noise Modeling
Chihao Zhang
Kuo Gai
Shihua Zhang
42
12
0
25 Nov 2019
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
149
120
0
05 Jun 2019
Clustering-aware Graph Construction: A Joint Learning Perspective
Clustering-aware Graph Construction: A Joint Learning Perspective
Yuheng Jia
Hui Liu
Junhui Hou
Sam Kwong
23
14
0
04 May 2019
Robust Graph Learning from Noisy Data
Robust Graph Learning from Noisy Data
Zhao Kang
Haiqi Pan
Guosheng Lin
Zenglin Xu
OODNoLa
101
257
0
17 Dec 2018
Matrix Recovery with Implicitly Low-Rank Data
Matrix Recovery with Implicitly Low-Rank Data
Xingyu Xie
Jianlong Wu
Guangcan Liu
Jun Wang
33
9
0
09 Nov 2018
Bilinear Factor Matrix Norm Minimization for Robust PCA: Algorithms and
  Applications
Bilinear Factor Matrix Norm Minimization for Robust PCA: Algorithms and Applications
Fanhua Shang
James Cheng
Yuanyuan Liu
Zhi-Quan Luo
Zhouchen Lin
46
149
0
11 Oct 2018
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
75
51
0
09 Jun 2018
Large Scale Graph Learning from Smooth Signals
Large Scale Graph Learning from Smooth Signals
Vassilis Kalofolias
Nathanael Perraudin
96
82
0
16 Oct 2017
Geometric deep learning on graphs and manifolds using mixture model CNNs
Geometric deep learning on graphs and manifolds using mixture model CNNs
Federico Monti
Davide Boscaini
Jonathan Masci
Emanuele Rodolà
Jan Svoboda
M. Bronstein
GNN
442
1,824
0
25 Nov 2016
Multilinear Low-Rank Tensors on Graphs & Applications
Multilinear Low-Rank Tensors on Graphs & Applications
N. Shahid
Francesco Grassi
P. Vandergheynst
41
4
0
15 Nov 2016
Laplacian regularized low rank subspace clustering
Laplacian regularized low rank subspace clustering
Yu Song
Yiquan Wu
23
2
0
24 Oct 2016
Simultaneous Low-rank Component and Graph Estimation for
  High-dimensional Graph Signals: Application to Brain Imaging
Simultaneous Low-rank Component and Graph Estimation for High-dimensional Graph Signals: Application to Brain Imaging
Liu Rui
Hossein Nejati
S. H. Safavi
Ngai-Man Cheung
46
23
0
26 Sep 2016
Low-Rank Matrices on Graphs: Generalized Recovery & Applications
Low-Rank Matrices on Graphs: Generalized Recovery & Applications
N. Shahid
Nathanael Perraudin
P. Vandergheynst
73
1
0
18 May 2016
Laplacian Eigenmaps from Sparse, Noisy Similarity Measurements
Laplacian Eigenmaps from Sparse, Noisy Similarity Measurements
Keith D. Levin
V. Lyzinski
53
14
0
12 Mar 2016
Compressive PCA for Low-Rank Matrices on Graphs
Compressive PCA for Low-Rank Matrices on Graphs
N. Shahid
Nathanael Perraudin
Gilles Puy
P. Vandergheynst
66
10
0
05 Feb 2016
How to learn a graph from smooth signals
How to learn a graph from smooth signals
Vassilis Kalofolias
98
516
0
11 Jan 2016
Multi-centrality Graph Spectral Decompositions and their Application to
  Cyber Intrusion Detection
Multi-centrality Graph Spectral Decompositions and their Application to Cyber Intrusion Detection
Pin-Yu Chen
Sutanay Choudhury
Alfred Hero
62
31
0
23 Dec 2015
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
99
331
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
86
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
89
183
0
29 Aug 2015
Fast Robust PCA on Graphs
Fast Robust PCA on Graphs
N. Shahid
Nathanael Perraudin
Vassilis Kalofolias
Gilles Puy
P. Vandergheynst
101
110
0
29 Jul 2015
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