Pantelis Bouboulis

Orcid: 0000-0001-5169-0273

According to our database1, Pantelis Bouboulis authored at least 28 papers between 2006 and 2018.

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

Timeline

Legend:

Book 
In proceedings 
Article 
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
Robust Nonlinear Regression: A Greedy Approach Employing Kernels With Application to Image Denoising.
IEEE Trans. Signal Process., 2017

2016
Robust non-linear regression analysis: A greedy approach employing kernels and application to image denoising.
CoRR, 2016

Efficient KLMS and KRLS algorithms: A random fourier feature perspective.
Proceedings of the IEEE Statistical Signal Processing Workshop, 2016

2015
Robust Linear Regression Analysis - A Greedy Approach.
IEEE Trans. Signal Process., 2015

Complex Support Vector Machines for Regression and Quaternary Classification.
IEEE Trans. Neural Networks Learn. Syst., 2015

Robust regression in RKHS - An overview.
Proceedings of the 23rd European Signal Processing Conference, 2015

2014
Robust Linear Regression Analysis - A Greedy Approach.
CoRR, 2014

Robust linear regression analysis - The greedy way.
Proceedings of the 22nd European Signal Processing Conference, 2014

Robust image denoising in RKHS via orthogonal matching pursuit.
Proceedings of the 4th International Workshop on Cognitive Information Processing, 2014

2013
Complex Support Vector Machines for Regression and Quaternary Classification
CoRR, 2013

Robust kernel-based regression using Orthogonal Matching Pursuit.
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2013

Complex support vector machines for quaternary classification.
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2013

2012
The Augmented Complex Kernel LMS.
IEEE Trans. Signal Process., 2012

Adaptive Multiregression in Reproducing Kernel Hilbert Spaces: The Multiaccess MIMO Channel Case.
IEEE Trans. Neural Networks Learn. Syst., 2012

Adaptive Learning in Complex Reproducing Kernel Hilbert Spaces Employing Wirtinger's Subgradients.
IEEE Trans. Neural Networks Learn. Syst., 2012

Neural Networks and Learning Systems Come Together.
IEEE Trans. Neural Networks Learn. Syst., 2012

Complex support vector regression.
Proceedings of the 3rd International Workshop on Cognitive Information Processing, 2012

2011
Extension of Wirtinger's Calculus to Reproducing Kernel Hilbert Spaces and the Complex Kernel LMS.
IEEE Trans. Signal Process., 2011

Reproducing Kernel Hilbert Spaces and fractal interpolation.
J. Comput. Appl. Math., 2011

Widely linear kernel-based adaptive filters.
Proceedings of the 19th European Signal Processing Conference, 2011

2010
Adaptive Kernel-Based Image Denoising Employing Semi-Parametric Regularization.
IEEE Trans. Image Process., 2010

Edge Preserving Image Denoising in Reproducing Kernel Hilbert Spaces
CoRR, 2010

Extension of Wirtinger's Calculus in Reproducing Kernel Hilbert Spaces and the Complex Kernel LMS
CoRR, 2010

Extension of Wirtinger Calculus in RKH Spaces and the Complex Kernel LMS
CoRR, 2010

Edge Preserving Image Denoising in Reproducing Kernel Hilbert Spaces.
Proceedings of the 20th International Conference on Pattern Recognition, 2010

The Complex Gaussian Kernel LMS Algorithm.
Proceedings of the Artificial Neural Networks, 2010

2006
Fractal επιφάνειες παρεμβολής: θεωρία και εφαρμογές στη συμπίεση εικόνας
PhD thesis, 2006


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