465 search results - page 21 / 93 » Functional radial basis function networks |
SBRN
2000
IEEE
14 years 3 days ago
2000
IEEE
One of the main obstacles to the widespread use of artijcial neural networks is the difJiculty of adequately define valuesfor their free parameters. This article discusses how Rad...
COMPUTING
2006
13 years 7 months ago
2006
Radial functions are a powerful tool in many areas of multidimensional approximation, especially when dealing with scattered data. We present a fast approximate algorithm for the ...
KES
2007
Springer
14 years 1 months ago
2007
Springer
Efficient multi-scale manifold reconstruction from point clouds can be obtained through the Hierarchical Radial Basis Functions (HRBF) network. An online training procedure for HRB...
NPL
1998
13 years 7 months ago
1998
Abstract. One of the main problems associated with arti cial neural networks online learning methods is the estimation of model order. In this paper, we report about a new approach...
ICCV
2001
IEEE
14 years 9 months ago
2001
IEEE
Point sets obtained from computer vision techniques are often noisy and non-uniform. We present a new method of surface reconstruction that can handle such data sets using anisotr...