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Found 4 papers, 0 papers with code
Online Distributed Learning Over Networks in RKH Spaces Using Random Fourier Features
To the best of our knowledge, this is the first time that a complete protocol for distributed online learning in RKHS is presented.
Efficient KLMS and KRLS Algorithms: A Random Fourier Feature Perspective
We present a new framework for online Least Squares algorithms for nonlinear modeling in RKH spaces (RKHS).
Robust Non-linear Regression: A Greedy Approach Employing Kernels with Application to Image Denoising
Finally, the proposed robust estimation framework is applied to the task of image denoising, and its enhanced performance in the presence of outliers is demonstrated.
Complex Support Vector Machines for Regression and Quaternary Classification
The method exploits the notion of widely linear estimation to model the input-out relation for complex-valued data and considers two cases: a) the complex data are split into their real and imaginary parts and a typical real kernel is employed to map the complex data to a complexified feature space and b) a pure complex kernel is used to directly map the data to the induced complex feature space.
