Folgen
Dorina Thanou
Dorina Thanou
EPFL
Bestätigte E-Mail-Adresse bei epfl.ch
Titel
Zitiert von
Zitiert von
Jahr
Learning Laplacian matrix in smooth graph signal representations
X Dong, D Thanou, P Frossard, P Vandergheynst
IEEE Transactions on Signal Processing 64 (23), 6160-6173, 2016
6952016
Learning graphs from data: A signal representation perspective
X Dong, D Thanou, M Rabbat, P Frossard
IEEE Signal Processing Magazine 36 (3), 44-63, 2019
4652019
Graph-based compression of dynamic 3D point cloud sequences
D Thanou, PA Chou, P Frossard
IEEE Transactions on Image Processing 25 (4), 1765 - 1778, 2016
2942016
Learning heat diffusion graphs
D Thanou, X Dong, D Kressner, P Frossard
IEEE Transactions on Signal and Information Processing over Networks 3 (3 …, 2017
2032017
Graph signal processing for machine learning: A review and new perspectives
X Dong, D Thanou, L Toni, M Bronstein, P Frossard
IEEE Signal processing magazine 37 (6), 117-127, 2020
1942020
Learning parametric dictionaries for signals on graphs
D Thanou, DI Shuman, P Frossard
IEEE Transactions on Signal Processing 62 (15), 3849-3862, 2014
1472014
Learning time varying graphs
V Kalofolias, A Loukas, D Thanou, P Frossard
2017 IEEE International Conference on Acoustics, Speech and Signal …, 2017
962017
Distributed average consensus with quantization refinement
D Thanou, E Kokiopoulou, Y Pu, P Frossard
IEEE Transactions on Signal Processing 61 (1), 194-205, 2012
782012
Laplacian matrix learning for smooth graph signal representation
X Dong, D Thanou, P Frossard, P Vandergheynst
2015 IEEE international conference on Acoustics, Speech and Signal …, 2015
752015
Graph-based motion estimation and compensation for dynamic 3D point cloud compression
D Thanou, PA Chou, P Frossard
2015 IEEE International Conference on Image Processing (ICIP), 3235-3239, 2015
612015
Predictive performance of multi-model ensemble forecasts of COVID-19 across European nations
K Sherratt, H Gruson, H Johnson, R Niehus, B Prasse, F Sandmann, ...
Elife 12, e81916, 2023
582023
Reconstruction of time-varying graph signals via Sobolev smoothness
JH Giraldo, A Mahmood, B Garcia-Garcia, D Thanou, T Bouwmans
IEEE Transactions on Signal and Information Processing over Networks 8, 201-214, 2022
552022
Parametric dictionary learning for graph signals
D Thanou, DI Shuman, P Frossard
2013 IEEE Global Conference on Signal and Information Processing, 487-490, 2013
532013
Combining anatomical and functional networks for neuropathology identification: A case study on autism spectrum disorder
S Itani, D Thanou
Medical image analysis 69, 101986, 2021
442021
Graph learning under sparsity priors
HP Maretic, D Thanou, P Frossard
2017 IEEE International Conference on Acoustics, Speech and Signal …, 2017
442017
Interpretable stability bounds for spectral graph filters
H Kenlay, D Thanou, X Dong
International conference on machine learning, 5388-5397, 2021
432021
On the stability of graph convolutional neural networks under edge rewiring
H Kenlay, D Thanou, X Dong
ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021
362021
Graph transform optimization with application to image compression
G Fracastoro, D Thanou, P Frossard
IEEE Transactions on Image Processing 29, 419-432, 2019
342019
Learning graphs from signal observations under smoothness prior
X Dong, D Thanou, P Frossard, P Vandergheynst
arXiv preprint arXiv:1406.7842, 2014
282014
A graph signal processing framework for the classification of temporal brain data
S Itani, D Thanou
2020 28th European Signal Processing Conference (EUSIPCO), 1180-1184, 2021
242021
Das System kann den Vorgang jetzt nicht ausführen. Versuchen Sie es später erneut.
Artikel 1–20