161 search results - page 12 / 33 » Stable Computations with Gaussian Radial Basis Functions |
ICML
2008
IEEE
14 years 9 months ago
2008
IEEE
Most existing sparse Gaussian process (g.p.) models seek computational advantages by basing their computations on a set of m basis functions that are the covariance function of th...
IWANN
2001
Springer
14 years 27 days ago
2001
Springer
This paper is focused on determining the parameters of radial basis function neural networks (number of neurons, and their respective centers and radii) automatically. While this ...
ICIG
2009
IEEE
13 years 6 months ago
2009
IEEE
Optical flow estimation is one of the main subjects in computer vision. Many methods developed to compute the motion fields are built using standard heuristic formulation. In this...
ICPR
2008
IEEE
14 years 9 months ago
2008
IEEE
In this paper we present a new approach for modelling multiple object scenes using images taken from various viewpoints. The voxel representation produced by the space carving is ...
IJON
2006
13 years 8 months ago
2006
In this paper we propose a novel approach for modeling kernels in Radial Basis Function networks. The method provides an extra degree of flexibility to the kernel structure. This ...