Projections of normed linear spaces with closed subspaces of finite codimension as kernels.

Endre Makai Jr.Horst Martini

Published in: Period. Math. Hung. (2006)

Keyphrases

hilbert space
finite dimensional
convex sets
infinite dimensional
vector space
finite number
feature space
grassmann manifold

von neumann
low dimensional
linear projection
three dimensional
kernel function
high dimensional
linear svm
euclidean space

high dimensional data
queueing networks
reproducing kernel hilbert space
riemannian manifolds
multivariate time series
linearly separable
stochastic gradient

lower dimensional
continuous functions
multiple kernel learning
radon transform
kernel methods
closed form
support vector