Frank-Michael Schleif

Small sets of random Fourier features by kernelized Matrix LVQ

2017

Kernel based learning is very popular in machine learning but often quite costly with at least quadratic runtime complexity. Random Fourier features and related techniques have been proposed to provide an explicit kernel expansion such …