80 citations · 245 across the 7 of their papers we have counts for
9 papers
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…
Robust Linear Regression Analysis - A Greedy Approach
George Papageorgiou, Pantelis Bouboulis, Sergios Theodoridis +1
The task of robust linear estimation in the presence of outliers is of particular importance in signal processing, statistics and machine learning. Although the problem has been st…
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…
Edge Preserving Image Denoising in Reproducing Kernel Hilbert Spaces
Pantelis Bouboulis, Sergios Theodoridis
The goal of this paper is the development of a novel approach for the problem of Noise Removal, based on the theory of Reproducing Kernels Hilbert Spaces (RKHS). The problem is cas…