Parametric kernel low-rank approximations using tensor train decomposition.

Abraham Khan Arvind K. Saibaba

Published in: CoRR (2024)

Keyphrases

low rank approximation
kernel matrix
low rank
kernel methods
kernel function
singular value decomposition
high order
feature space
model selection
higher order
input space
reproducing kernel hilbert space
support vector
missing data
dimensionality reduction
spectral clustering
diffusion tensor
machine learning