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» Deformable Radial Basis Functions
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ESANN
2001
13 years 11 months ago
Learning fault-tolerance in Radial Basis Function Networks
This paper describes a method of supervised learning based on forward selection branching. This method improves fault tolerance by means of combining information related to general...
Xavier Parra, Andreu Català
CVPR
2007
IEEE
14 years 12 months ago
A Variational Approach to the Evolution of Radial Basis Functions for Image Segmentation
In this paper we derive differential equations for evolving radial basis functions (RBFs) to solve segmentation problems. The differential equations result from applying variation...
Greg G. Slabaugh, Huong Quynh Dinh, Gozde B. Unal
TITB
2008
102views more  TITB 2008»
13 years 9 months ago
Nonlinear Support Vector Machine Visualization for Risk Factor Analysis Using Nomograms and Localized Radial Basis Function Kern
Nonlinear classifiers, e.g., support vector machines (SVMs) with radial basis function (RBF) kernels, have been used widely for automatic diagnosis of diseases because of their hig...
Baek Hwan Cho, Hwanjo Yu, Jong Shill Lee, Young Jo...
ICMCS
2005
IEEE
184views Multimedia» more  ICMCS 2005»
14 years 3 months ago
Fuzzy relevance feedback in content-based image retrieval systems using radial basis function network
This paper presents a new framework called fuzzy relevance feedback in interactive content-based image retrieval (CBIR) systems based on soft-decision. An efficient learning appro...
Kim-Hui Yap, Kui Wu
ICANN
2007
Springer
14 years 4 months ago
Input Selection for Radial Basis Function Networks by Constrained Optimization
Input selection in the nonlinear function approximation is important and difficult problem. Neural networks provide good generalization in many cases, but their interpretability is...
Jarkko Tikka