Random sampling of bandlimited signals on graphs

16 November 2015

Rémi Gribonval

Papers citing "Random sampling of bandlimited signals on graphs"

37 / 37 papers shown

Title
Robust Offline Active Learning on Graphs Yuanchen Wu Yubai Yuan OffRL 23 0 0 15 Aug 2024
Graph Unfolding and Sampling for Transitory Video Summarization via Gershgorin Disc Alignment S. Sahami Gene Cheung Chia-Wen Lin 28 0 0 03 Aug 2024
Spectrally Pruned Gaussian Fields with Neural Compensation Runyi Yang Zhenxin Zhu Zhou Jiang Baijun Ye Xiaoxue Chen Yifei Zhang Yuantao Chen Jian Zhao Hao Zhao 3DGS 48 15 0 01 May 2024
Random Multi-Type Spanning Forests for Synchronization on Sparse Graphs Hugo Jaquard P. Amblard Simon Barthelmé Nicolas M Tremblay 27 1 0 28 Mar 2024
Sampling and Uniqueness Sets in Graphon Signal Processing Alejandro Parada-Mayorga Alejandro Ribeiro 26 2 0 11 Jan 2024
Efficient Signed Graph Sampling via Balancing & Gershgorin Disc Perfect Alignment Chinthaka Dinesh Gene Cheung Saghar Bagheri Ivan V. Bajić 18 2 0 18 Aug 2022
Robust recovery of bandlimited graph signals via randomized dynamical sampling Longxiu Huang Deanna Needell Sui Tang 16 6 0 28 Sep 2021
Graph Learning: A Survey Feng Xia Ke Sun Shuo Yu Abdul Aziz Liangtian Wan Shirui Pan Huan Liu GNN 24 342 0 03 May 2021
A Computational Framework for Modeling Complex Sensor Network Data Using Graph Signal Processing and Graph Neural Networks in Structural Health Monitoring Stefan Bloemheuvel Jurgen van den Hoogen Martin Atzmueller AI4CE 27 21 0 01 May 2021
Sampling and Recovery of Graph Signals based on Graph Neural Networks Siheng Chen Maosen Li Ya Zhang 13 3 0 03 Nov 2020
A low discrepancy sequence on graphs A. Cloninger H. Mhaskar 37 3 0 08 Oct 2020
Online Graph Completion: Multivariate Signal Recovery in Computer Vision Won Hwa Kim Mona Jalal Seong Jae Hwang Sterling C. Johnson Vikas Singh 19 3 0 12 Aug 2020
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
Sensor selection on graphs via data-driven node sub-sampling in network time series Yiye Jiang Jérémie Bigot Sofian Maabout AI4TS 18 4 0 24 Apr 2020
Sampling Signals on Graphs: From Theory to Applications Yuichi Tanaka Yonina C. Eldar Antonio Ortega Gene Cheung 22 10 0 09 Mar 2020
GraphBGS: Background Subtraction via Recovery of Graph Signals Jhony H. Giraldo T. Bouwmans 29 23 0 17 Jan 2020
Spectral Geometric Matrix Completion A. Boyarski S. Vedula A. Bronstein 17 3 0 17 Nov 2019
Bayesian Design of Sampling Set for Bandlimited Graph Signals Xuan Xie Junhao Yu Hui Feng Bo Hu 14 2 0 07 Sep 2019
Transferability of Spectral Graph Convolutional Neural Networks Ron Levie Wei Huang Lorenzo Bucci M. Bronstein Gitta Kutyniok GNN 32 126 0 30 Jul 2019
Learning by Active Nonlinear Diffusion Mauro Maggioni James M. Murphy 11 19 0 30 May 2019
Compressed Diffusion Scott A. Gigante Jay S. Stanley Ngan Vu David van Dijk Kevin Moon Guy Wolf Smita Krishnaswamy 14 6 0 31 Jan 2019
Approximating Spectral Clustering via Sampling: a Review Nicolas M Tremblay Andreas Loukas 13 45 0 29 Jan 2019
Graph Signal Sampling via Reinforcement Learning Oleksii Abramenko A. Jung 24 5 0 15 May 2018
Active covariance estimation by random sub-sampling of variables Eduardo Pavez Antonio Ortega 20 2 0 04 Apr 2018
Graph-Based Ascent Algorithms for Function Maximization Muni Sreenivas Pydi Varun Jog Po-Ling Loh 18 2 0 13 Feb 2018
Fast Approximate Spectral Clustering for Dynamic Networks Lionel Martin Andreas Loukas P. Vandergheynst 16 18 0 12 Jun 2017
Échantillonnage de signaux sur graphes via des processus déterminantaux Nicolas M Tremblay Simon Barthelmé P. Amblard 6 1 0 07 Apr 2017
Evaluating Graph Signal Processing for Neuroimaging Through Classification and Dimensionality Reduction M. Ménoret Nicolas Farrugia Bastien Pasdeloup Vincent Gripon 12 57 0 06 Mar 2017
Graph sampling with determinantal processes Nicolas M Tremblay P. Amblard Simon Barthelmé 17 35 0 05 Mar 2017
Machine Learning Friendly Set Version of Johnson-Lindenstrauss Lemma M. Klopotek 21 2 0 04 Mar 2017
Compressive Embedding and Visualization using Graphs Johan Paratte Nathanael Perraudin P. Vandergheynst 17 5 0 19 Feb 2017
On Consistency of Compressive Spectral Clustering Muni Sreenivas Pydi Ambedkar Dukkipati 19 1 0 12 Feb 2017
Fast Resampling of 3D Point Clouds via Graphs Siheng Chen Dong Tian Chen Feng A. Vetro J. Kovacevic 3DPC 18 155 0 11 Feb 2017
Low-Rank Matrices on Graphs: Generalized Recovery & Applications N. Shahid Nathanael Perraudin P. Vandergheynst 18 1 0 18 May 2016
Global and Local Uncertainty Principles for Signals on Graphs Nathanael Perraudin B. Ricaud D. Shuman P. Vandergheynst 22 66 0 10 Mar 2016
Compressive PCA for Low-Rank Matrices on Graphs N. Shahid Nathanael Perraudin Gilles Puy P. Vandergheynst 19 10 0 05 Feb 2016
Compressive Spectral Clustering Nicolas M Tremblay Gilles Puy Remi Gribonval P. Vandergheynst 24 112 0 05 Feb 2016