Projections of normed linear spaces with closed subspaces of finite codimension as kernels.
Endre Makai Jr.Horst MartiniPublished 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