Symeon Chouvardas

According to our database1, Symeon Chouvardas authored at least 34 papers between 2010 and 2018.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2018
Online Distributed Learning Over Networks in RKH Spaces Using Random Fourier Features.
IEEE Trans. Signal Process., 2018

2017
An efficient online Adaptive Sampling strategy for Matrix Completion.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Robust online matrix completion on graphs.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

2016
Online and Global Network Optimization: Towards the Next-Generation of Routing Platforms.
CoRR, 2016

Robust On-line Matrix Completion on Graphs.
CoRR, 2016

Online experts for admission control in SDN.
Proceedings of the 2016 IEEE/IFIP Network Operations and Management Symposium, 2016

Admission control with online algorithms in SDN.
Proceedings of the 2016 IEEE/IFIP Network Operations and Management Symposium, 2016

Placing dynamic content in caches with small population.
Proceedings of the 35th Annual IEEE International Conference on Computer Communications, 2016

Bandwidth calendaring: Dynamic services scheduling over Software Defined Networks.
Proceedings of the 2016 IEEE International Conference on Communications, 2016

A method to reconstruct coverage loss maps based on matrix completion and adaptive sampling.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

A diffusion kernel LMS algorithm for nonlinear adaptive networks.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Low Complexity Channel Estimation for Millimeter Wave Systems with Hybrid A/D Antenna Processing.
Proceedings of the 2016 IEEE Globecom Workshops, Washington, DC, USA, December 4-8, 2016, 2016

Sparsity-aware distributed learning.
Proceedings of the Big Data over Networks, 2016

2015
Greedy Sparsity-Promoting Algorithms for Distributed Learning.
IEEE Trans. Signal Process., 2015

Robust Subspace Tracking With Missing Entries: The Set-Theoretic Approach.
IEEE Trans. Signal Process., 2015

Pattern classification formulated as a missing data task: The audio genre classification case.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Iterative randomized robust linear regression.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Distributed robust labeling of audio sources in heterogeneous wireless sensor networks.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

An online algorithm for distributed dictionary learning.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Distributed robust subspace tracking.
Proceedings of the 23rd European Signal Processing Conference, 2015

2014
An Adaptive Projected Subgradient based algorithm for robust subspace tracking.
Proceedings of the IEEE International Conference on Acoustics, 2014

Sparsity-aware learning in the context of echo cancelation: A set theoretic estimation approach.
Proceedings of the 22nd European Signal Processing Conference, 2014

2013
Robust adaptive machine learning algorithms for distributed signal processing
PhD thesis, 2013

Stochastic Analysis of Hyperslab-Based Adaptive Projected Subgradient Method Under Bounded Noise.
IEEE Signal Process. Lett., 2013

Trading off Complexity With Communication Costs in Distributed Adaptive Learning via Krylov Subspaces for Dimensionality Reduction.
IEEE J. Sel. Top. Signal Process., 2013

A greedy sparsity-promoting LMS for distributed adaptive learning in diffusion networks.
Proceedings of the IEEE International Conference on Acoustics, 2013

Training-based and blind algorithms for sparsity-aware distributed learning.
Proceedings of the 21st European Signal Processing Conference, 2013

Sparsity-Aware Adaptive Learning: A Set Theoretic Estimation Approach.
Proceedings of the 11th IFAC International Workshop on Adaptation and Learning in Control and Signal Processing, 2013

2012
A Sparsity Promoting Adaptive Algorithm for Distributed Learning.
IEEE Trans. Signal Process., 2012

Sparsity-promoting adaptive algorithm for distributed learning in diffusion networks.
Proceedings of the 20th European Signal Processing Conference, 2012

2011
Adaptive Robust Distributed Learning in Diffusion Sensor Networks.
IEEE Trans. Signal Process., 2011

A Sparsity-Aware Adaptive Algorithm for Distributed Learning
CoRR, 2011

Trading off communications bandwidth with accuracy in adaptive diffusion networks.
Proceedings of the IEEE International Conference on Acoustics, 2011

2010
A novel adaptive algorithm for diffusion networks using projections onto hyperslabs.
Proceedings of the 2nd International Workshop on Cognitive Information Processing, 2010


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