Doubly-Stochastic Normalization of the Gaussian Kernel is Robust to Heteroskedastic Noise.

Boris Landa Ronald R. Coifman Yuval Kluger

Published in: CoRR (2020)

Keyphrases

gaussian kernel
doubly stochastic
scale space
missing data
rbf network
optimal parameters
poisson process
machine learning
learning algorithm
kernel methods
noise reduction
reproducing kernel hilbert space