Kernel Regression on Graphs in Random Fourier Features Space.

Vitor R. M. Elias Vinay Chakravarthi Gogineni Wallace A. Martins Stefan Werner

Published in: ICASSP (2021)

Keyphrases

kernel regression
feature space
feature vectors
parameter space
nadaraya watson
decision trees
feature extraction
higher order
dimensionality reduction
image reconstruction
high dimensionality