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ESANN
2003
14 years 11 months ago
Approximation of Function by Adaptively Growing Radial Basis Function Neural Networks
In this paper a neural network for approximating function is described. The activation functions of the hidden nodes are the Radial Basis Functions (RBF) whose parameters are learn...
Jianyu Li, Siwei Luo, Yingjian Qi
ICCV
2007
IEEE
15 years 11 months ago
Finding a Closed Boundary by Growing Minimal Paths from a Single Point on 2D or 3D Images
In this paper, we present a new method for segmenting closed contours and surfaces. Our work builds on a variant of the Fast Marching algorithm. First, an initial point on the des...
Fethallah Benmansour, Stephane Bonneau, Laurent D....
WEBI
2007
Springer
15 years 3 months ago
Growing Hierarchical Self-Organizing Maps for Web Mining
— Many information retrieval and machine learning methods have not evolved in order to be applied to the Web. Two main problems in applying some machine learning techniques for W...
Joseph P. Herbert, Jingtao Yao
CANDC
2009
ACM
15 years 4 months ago
Growing and destroying the worth of ideas
This paper presents a novel computational approach to the study of creativity. In particular, it discusses a modeling framework that addresses the worth of ideas ascribed by agent...
Ricardo Sosa, John S. Gero, Kyle Jennings
EVOW
2006
Springer
15 years 1 months ago
Artificial Life Models in Lung CTs
A new method for the analysis of 3D medical images is introduced. The algorithm is based on Biological Models of ants known as Artificial Life models. Test images (lung Computed To...
Sorin Cristian Cheran, Gianfranco Gargano