Vitor Rosa Meireles Elias

Kernel Regression on Graphs in Random Fourier Features Space

This work proposes an efficient batch-based implementation for kernel regression on graphs (KRG) using random Fourier features (RFF) and a low-complexity online implementation. Kernel regression has proven to be an efficient learning tool in the graph signal processing framework. However, it suffers…