19 search results - page 2 / 4 » FGKA: a Fast Genetic K-means Clustering Algorithm |
ERCIMDL
2000
Springer
13 years 8 months ago
2000
Springer
Segmentation of a colour image composed of different kinds of texture regions can be a hard problem, namely to compute for an exact texture fields and a decision of the optimum num...
AUSAI
2004
Springer
13 years 10 months ago
2004
Springer
The K-means Fast Learning Artificial Neural Network (KFLANN) is a small neural network bearing two types of parameters, the tolerance, δ and the vigilance, µ. In previous papers,...
ICIP
2001
IEEE
14 years 6 months ago
2001
IEEE
Thispaper presents a new hybrid range image segmentation approach. Two separate techniques are applied consecutively. First, iin edge based segmentation technique extracts the edg...
TSMC
2008
13 years 5 months ago
2008
Differential evolution (DE) has emerged as one of the fast, robust, and efficient global search heuristics of current interest. This paper describes an application of DE to the aut...
ICPR
2004
IEEE
14 years 6 months ago
2004
IEEE
This paper discusses a novel and effective technique for extracting multiple ellipses from an image, using a Multi-Population Genetic Algorithm (MPGA). MPGA evolves a number of su...