2388 search results - page 10 / 478 » Kernel information embeddings |
CORR
2008
Springer
13 years 7 months ago
2008
Springer
Graph kernels methods are based on an implicit embedding of graphs within a vector space of large dimension. This implicit embedding allows to apply to graphs methods which where u...
CVPR
2011
IEEE
13 years 2 months ago
2011
IEEE
Recent advances in 3D shape recognition have shown that kernels based on diffusion geometry can be effectively used to describe local features of deforming surfaces. In this paper...
NIPS
2007
13 years 8 months ago
2007
This paper introduces kernels on attributed pointsets, which are sets of vectors embedded in an euclidean space. The embedding gives the notion of neighborhood, which is used to d...
JMLR
2010
13 years 2 months ago
2010
Appropriate selection of the kernel function, which implicitly defines the feature space of an algorithm, has a crucial role in the success of kernel methods. In this paper, we co...
ICCV
2009
IEEE
15 years 10 days ago
2009
IEEE
We use concepts from chaos theory in order to model
nonlinear dynamical systems that exhibit deterministic behavior.
Observed time series from such a system can be embedded
into...