Fast Robust PCA on Graphs

29 July 2015

Papers citing "Fast Robust PCA on Graphs"

36 / 36 papers shown

Title
Spatiotemporal Covariance Neural Networks Andrea Cavallo Mohammad Sabbaqi Elvin Isufi 29 3 0 16 Sep 2024
Fast and Robust Sparsity-Aware Block Diagonal Representation Aylin Taştan Michael Muma A. Zoubir 18 3 0 02 Dec 2023
To Fold or Not to Fold: Graph Regularized Tensor Train for Visual Data Completion Le Xu Lei Cheng Ngai Wong Yik-Chung Wu ViT 32 0 0 19 Jun 2023
Variational Bayesian inference for CP tensor completion with side information S. Budzinskiy N. Zamarashkin 19 1 0 24 Jun 2022
Graph-theoretical approach to robust 3D normal extraction of LiDAR data Arpan Kusari W. Sun 3DPC 23 2 0 23 May 2022
Bayesian Low-rank Matrix Completion with Dual-graph Embedding: Prior Analysis and Tuning-free Inference Y. Chen Lei Cheng Yik-Chung Wu BDL 14 16 0 18 Mar 2022
Regularisation for PCA- and SVD-type matrix factorisations Abdolrahman Khoshrou E. Pauwels 20 0 0 24 Jun 2021
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
New methods for metastimuli: architecture, embeddings, and neural network optimization Rico A. R. Picone Dane Webb Finbarr Obierefu Jotham Lentz 21 1 0 14 Feb 2021
Matrix Decomposition on Graphs: A Functional View Abhishek Sharma M. Ovsjanikov 12 3 0 05 Feb 2021
Low-rank on Graphs plus Temporally Smooth Sparse Decomposition for Anomaly Detection in Spatiotemporal Data Seyyid Emre Sofuoglu Selin Aviyente 21 4 0 23 Oct 2020
Multi-way Graph Signal Processing on Tensors: Integrative analysis of irregular geometries Jay S. Stanley III Eric C. Chi Gal Mishne 31 24 0 30 Jun 2020
Connecting Graph Convolutional Networks and Graph-Regularized PCA Lingxiao Zhao Leman Akoglu GNN 13 5 0 22 Jun 2020
Time-Varying Graph Learning with Constraints on Graph Temporal Variation Koki Yamada Yuichi Tanaka Antonio Ortega AI4TS 21 43 0 10 Jan 2020
Depth Restoration: A fast low-rank matrix completion via dual-graph regularization W. Zuo Qiang Li Xianming Liu 20 1 0 05 Jul 2019
Graph Multiview Canonical Correlation Analysis Jia Chen G. Wang G. Giannakis 18 61 0 29 Nov 2018
Co-manifold learning with missing data Gal Mishne Eric C. Chi Ronald R. Coifman 32 14 0 16 Oct 2018
Graph filtering for data reduction and reconstruction I. Schizas 11 1 0 25 Sep 2018
Knowledge-Based Distant Regularization in Learning Probabilistic Models Naoya Takeishi Kosuke Akimoto 27 5 0 29 Jun 2018
Nonlinear Dimensionality Reduction for Discriminative Analytics of Multiple Datasets Jia Chen G. Wang G. Giannakis 19 21 0 15 May 2018
Canonical Correlation Analysis of Datasets with a Common Source Graph Jia Chen G. Wang Yanning Shen G. Giannakis CML 14 28 0 27 Mar 2018
Gaussian Processes Over Graphs Arun Venkitaraman S. Chatterjee P. Händel 11 37 0 15 Mar 2018
Nonlinear Dimensionality Reduction on Graphs Yanning Shen Panagiotis A. Traganitis G. Giannakis 18 19 0 29 Jan 2018
Large Scale Graph Learning from Smooth Signals Vassilis Kalofolias Nathanael Perraudin 23 80 0 16 Oct 2017
Data-Driven Tree Transforms and Metrics Gal Mishne Ronen Talmon Israel Cohen Ronald R. Coifman Y. Kluger 22 21 0 18 Aug 2017
A Time-Vertex Signal Processing Framework Francesco Grassi Andreas Loukas Nathanael Perraudin B. Ricaud 14 171 0 05 May 2017
Geometric deep learning on graphs and manifolds using mixture model CNNs Federico Monti Davide Boscaini Jonathan Masci Emanuele Rodolà Jan Svoboda M. Bronstein GNN 263 1,812 0 25 Nov 2016
Multilinear Low-Rank Tensors on Graphs & Applications N. Shahid Francesco Grassi P. Vandergheynst 17 4 0 15 Nov 2016
Going off the Grid: Iterative Model Selection for Biclustered Matrix Completion Eric C. Chi Liuyi Hu A. Saibaba A. Rao 17 2 0 18 Oct 2016
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 11 23 0 26 Sep 2016
Predicting the evolution of stationary graph signals Andreas Loukas Nathanael Perraudin 19 13 0 12 Jul 2016
Low-Rank Matrices on Graphs: Generalized Recovery & Applications N. Shahid Nathanael Perraudin P. Vandergheynst 23 1 0 18 May 2016
Compressive PCA for Low-Rank Matrices on Graphs N. Shahid Nathanael Perraudin Gilles Puy P. Vandergheynst 27 10 0 05 Feb 2016
Stationary signal processing on graphs Nathanael Perraudin P. Vandergheynst 13 236 0 11 Jan 2016
Random sampling of bandlimited signals on graphs Gilles Puy Nicolas M Tremblay Rémi Gribonval P. Vandergheynst 25 158 0 16 Nov 2015
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