161 search results - page 1 / 33 » Stable Computations with Gaussian Radial Basis Functions |
SIAMSC
2011
12 years 11 months ago
2011
Abstract. Radial basis function (RBF) approximation is an extremely powerful tool for representing smooth functions in non-trivial geometries, since the method is meshfree and can ...
ICPR
2000
IEEE
14 years 5 months ago
2000
IEEE
In this paper we focus on an interpretation of Gaussian radial basis functions (GRBF) which motivates extensions and learning strategies. Specifically, we show that GRBF regressio...
ADCM
2007
13 years 4 months ago
2007
Based on radial basis functions approximation, we develop in this paper a new computational algorithm for numerical diļ¬erentiation. Under an a priori and an a posteriori choice r...
CGF
2006
13 years 4 months ago
2006
Functional approximation of scattered data is a popular technique for compactly representing various types of datasets in computer graphics, including surface, volume, and vector ...
GECCO
2005
Springer
13 years 10 months ago
2005
Springer
In support vector machines (SVM), the kernel functions which compute dot product in feature space significantly affect the performance of classifiers. Each kernel function is suit...