Dorina Thanou
Dorina Thanou
Swiss Data Science Center (SDSC), EPFL/ETHZ
Verified email at epfl.ch
Title
Cited by
Cited by
Year
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
2562016
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
1362016
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
1362016
Learning parametric dictionaries for signals on graphs
D Thanou, DI Shuman, P Frossard
IEEE Transactions on Signal Processing 62 (15), 3849-3862, 2014
1052014
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
822019
Learning heat diffusion graphs
D Thanou, X Dong, D Kressner, P Frossard
IEEE Transactions on Signal and Information Processing over Networks 3 (3 …, 2017
742017
Distributed average consensus with quantization refinement
D Thanou, E Kokiopoulou, Y Pu, P Frossard
IEEE Transactions on Signal Processing 61 (1), 194-205, 2012
552012
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
472015
Parametric dictionary learning for graph signals
D Thanou, DI Shuman, P Frossard
2013 IEEE Global Conference on Signal and Information Processing, 487-490, 2013
422013
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
292015
Learning graphs from signal observations under smoothness prior
X Dong, D Thanou, P Frossard, P Vandergheynst
arXiv preprint arXiv:1406.7842, 2014
262014
Learning time varying graphs
V Kalofolias, A Loukas, D Thanou, P Frossard
2017 IEEE International Conference on Acoustics, Speech and Signal …, 2017
242017
Graph learning under sparsity priors
HP Maretic, D Thanou, P Frossard
2017 IEEE International Conference on Acoustics, Speech and Signal …, 2017
172017
Multi-graph learning of spectral graph dictionaries
D Thanou, P Frossard
2015 IEEE International Conference on Acoustics, Speech and Signal …, 2015
132015
Graph transform learning for image compression
G Fracastoro, D Thanou, P Frossard
2016 Picture Coding Symposium (PCS), 1-5, 2016
112016
Distributed signal processing with graph spectral dictionaries
D Thanou, P Frossard
2015 53rd Annual Allerton Conference on Communication, Control, and …, 2015
72015
Progressive quantization in distributed average consensus
D Thanou, E Kokiopoulou, P Frossard
2012 IEEE International Conference on Acoustics, Speech and Signal …, 2012
72012
Combining anatomical and functional networks for neuropathology identification: A case study on autism spectrum disorder
S Itani, D Thanou
arXiv preprint arXiv:1904.11296, 2019
62019
Graph Signal Processing: Sparse Representation and Applications
N Thanou
EPFL, 2016
62016
Learning of robust spectral graph dictionaries for distributed processing
D Thanou, P Frossard
EURASIP Journal on Advances in Signal Processing 2018 (1), 1-17, 2018
42018
The system can't perform the operation now. Try again later.
Articles 1–20