How rotational invariance of common kernels prevents generalization in high dimensions.

Konstantin Donhauser Mingqi Wu Fanny Yang

Published in: CoRR (2021)

Keyphrases

high dimensions
high dimensional data
high dimensional
poor quality
kernel function
indexing schemes
high dimensional spaces
kernel methods
multiple kernel learning
support vector
dimensionality reduction
nearest neighbor
learning machines
feature space
low dimensional
computer vision
high quality
image processing