Dorina Thanou

According to our database1, Dorina Thanou authored at least 31 papers between 2010 and 2020.

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Bibliography

2020
Mask Combination of Multi-Layer Graphs for Global Structure Inference.
IEEE Trans. Signal Inf. Process. over Networks, 2020

Graph Transform Optimization With Application to Image Compression.
IEEE Trans. Image Process., 2020

Graph Signal Processing for Machine Learning: A Review and New Perspectives.
IEEE Signal Process. Mag., 2020

On the Stability of Graph Convolutional Neural Networks under Edge Rewiring.
CoRR, 2020

node2coords: Graph Representation Learning with Wasserstein Barycenters.
CoRR, 2020

On The Stability of Polynomial Spectral Graph Filters.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Height and Weight Estimation from Unconstrained Images.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019
Learning Graphs From Data: A Signal Representation Perspective.
IEEE Signal Process. Mag., 2019

Combining Anatomical and Functional Networks for Neuropathology Identification: A Case Study on Autism Spectrum Disorder.
CoRR, 2019

2018
Learning of robust spectral graph dictionaries for distributed processing.
EURASIP J. Adv. Signal Process., 2018

2017
Learning Heat Diffusion Graphs.
IEEE Trans. Signal Inf. Process. over Networks, 2017

Graph-based Transform Coding with Application to Image Compression.
CoRR, 2017

Graph learning under sparsity priors.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Learning time varying graphs.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Learning sparse models of diffusive graph signals.
Proceedings of the 25th European Symposium on Artificial Neural Networks, 2017

2016
Learning Laplacian Matrix in Smooth Graph Signal Representations.
IEEE Trans. Signal Process., 2016

Graph-Based Compression of Dynamic 3D Point Cloud Sequences.
IEEE Trans. Image Process., 2016

Graph transform learning for image compression.
Proceedings of the 2016 Picture Coding Symposium, 2016

2015
Graph-based motion estimation and compensation for dynamic 3D point cloud compression.
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

Multi-graph learning of spectral graph dictionaries.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Laplacian matrix learning for smooth graph signal representation.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Distributed signal processing with graph spectral dictionaries.
Proceedings of the 53rd Annual Allerton Conference on Communication, 2015

2014
Learning Parametric Dictionaries for Signals on Graphs.
IEEE Trans. Signal Process., 2014

Learning parametric dictionaries for graph signals.
CoRR, 2014

Learning Graphs from Signal Observations under Smoothness Prior.
CoRR, 2014

2013
Distributed Average Consensus With Quantization Refinement.
IEEE Trans. Signal Process., 2013

Parametric dictionary learning for graph signals.
Proceedings of the IEEE Global Conference on Signal and Information Processing, 2013

2012
Progressive quantization in distributed average consensus.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

2011
Compressed classification of observation sets with linear subspace embeddings.
Proceedings of the IEEE International Conference on Acoustics, 2011

2010
Comparison of time and frequency domain interpolation implementations for MB-OFDM UWB transmitters.
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2010), May 30, 2010

Polynomial filter design for quantized consensus.
Proceedings of the 18th European Signal Processing Conference, 2010


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