Kernel Regression on Manifold Valued Data.

Alexander P. Kuleshov Alexander Bernstein Evgeny Burnaev

Published in: DSAA (2018)

Keyphrases

kernel regression
valued data
regression model
nadaraya watson
order statistics
linear regression
covariance matrices
regression methods
parameter optimization
low dimensional
parameter space
tensor field
partial least squares
feature space
dimension reduction
high dimensional
pairwise