Induced Voronoï Kernels for Principal Manifolds Approximation.
Michaël AupetitPierre CouturierPierre MassottePublished in: WSOM (2001)
Keyphrases
- feature space
- support vector
- kernel function
- approximation algorithms
- approximation methods
- approximation error
- manifold learning
- euclidean space
- riemannian manifolds
- kernel methods
- low dimensional
- multiple kernel learning
- linear combination
- gram matrix
- information geometry
- error bounds
- machine learning
- cortical surface
- reproducing kernel hilbert space
- high dimensional
- multiple kernel
- tensor product
- polynomial kernels