80 citations · 245 across the 7 of their papers we have counts for
7 papers · 1 filter
Online Distributed Learning Over Networks in RKH Spaces Using Random Fourier Features
Pantelis Bouboulis, Symeon Chouvardas, Sergios Theodoridis
We present a novel diffusion scheme for online kernel-based learning over networks. So far, a major drawback of any online learning algorithm, operating in a reproducing kernel Hil…
Efficient KLMS and KRLS Algorithms: A Random Fourier Feature Perspective
Pantelis Bouboulis, Spyridon Pougkakiotis, Sergios Theodoridis
We present a new framework for online Least Squares algorithms for nonlinear modeling in RKH spaces (RKHS). Instead of implicitly mapping the data to a RKHS (e.g., kernel trick), w…
Robust Non-linear Regression: A Greedy Approach Employing Kernels with Application to Image Denoising
George Papageorgiou, Pantelis Bouboulis, Sergios Theodoridis
We consider the task of robust non-linear regression in the presence of both inlier noise and outliers. Assuming that the unknown non-linear function belongs to a Reproducing Kerne…
Complex Support Vector Machines for Regression and Quaternary Classification
Pantelis Bouboulis, Sergios Theodoridis, Charalampos Mavroforakis +1
The paper presents a new framework for complex Support Vector Regression as well as Support Vector Machines for quaternary classification. The method exploits the notion of widely…
Wirtinger's Calculus in general Hilbert Spaces
P. Bouboulis
The present report, has been inspired by the need of the author and its colleagues to understand the underlying theory of Wirtinger's Calculus and to further extend it to include t…
Extension of Wirtinger Calculus in RKH Spaces and the Complex Kernel LMS
Pantelis Bouboulis, Sergios Theodoridis
Over the last decade, kernel methods for nonlinear processing have successfully been used in the machine learning community. However, so far, the emphasis has been on batch techniq…