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ECCV
2006
Springer
16 years 1 months ago
Globally Optimal Active Contours, Sequential Monte Carlo and On-Line Learning for Vessel Segmentation
In this paper we propose a Particle Filter-based propagation approach for the segmentation of vascular structures in 3D volumes. Because of pathologies and inhomogeneities, many de...
Charles Florin, Nikos Paragios, James Williams
NCA
2007
IEEE
14 years 11 months ago
Ensemble of hybrid neural network learning approaches for designing pharmaceutical drugs
Designing drugs is a current problem in the pharmaceutical research. By designing a drug we mean to choose some variables of drug formulation (inputs), for obtaining optimal charac...
Ajith Abraham, Crina Grosan, Stefan Tigan
CEC
2010
IEEE
15 years 25 days ago
An adaptive ensemble of fuzzy ARTMAP neural networks for video-based face classification
A key feature in population based optimization algorithms is the ability to explore a search space and make a decision based on multiple solutions. In this paper, an incremental le...
Jean-François Connolly, Eric Granger, Rober...
CEC
2008
IEEE
15 years 6 months ago
A comparative study of the effect of parameter scalability in multi-objective metaheuristics
Abstract—Some real-world optimization problems have hundreds or even thousands of decision variables. However, the effect that the scalability of parameters has in modern multiob...
Juan José Durillo, Antonio J. Nebro, Carlos...
GECCO
2009
Springer
146views Optimization» more  GECCO 2009»
15 years 6 months ago
Using a distance metric to guide PSO algorithms for many-objective optimization
In this paper we propose to use a distance metric based on user-preferences to efficiently find solutions for manyobjective problems. We use a particle swarm optimization (PSO) a...
Upali K. Wickramasinghe, Xiaodong Li