Optimizing over Radial Kernels on Compact Manifolds.

Sadeep Jayasumana Richard I. Hartley Mathieu Salzmann Hongdong Li Mehrtash Tafazzoli Harandi

Published in: CVPR (2014)

Keyphrases

riemannian manifolds
feature space
low dimensional
kernel function
manifold learning
kernel methods
euclidean space
feature mapping
linear combination
arbitrary dimension
machine learning
geometric structure
multiple kernel learning
kernel learning
support vector
positive definite
multiple kernel
video sequences