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» A New Approach to Improve Particle Swarm Optimization
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JUCS
2007
137views more  JUCS 2007»
15 years 1 months ago
An Approach to Polygonal Approximation of Digital Curves Based on Discrete Particle Swarm Algorithm
: An approach to polygonal approximation of regular digital curves based on PSO algorithm is presented. In this paper, each particle corresponds to a candidate solution to the poly...
Fangmin Dong, Renbin Xiao, Yifang Zhong, Yong Liu
GECCO
2005
Springer
155views Optimization» more  GECCO 2005»
15 years 7 months ago
Bayesian optimization models for particle swarms
We explore the use of information models as a guide for the development of single objective optimization algorithms, giving particular attention to the use of Bayesian models in a...
Christopher K. Monson, Kevin D. Seppi
ICMCS
2007
IEEE
194views Multimedia» more  ICMCS 2007»
15 years 7 months ago
Automatically Tuning Background Subtraction Parameters using Particle Swarm Optimization
A common trait of background subtraction algorithms is that they have learning rates, thresholds, and initial values that are hand-tuned for a scenario in order to produce the des...
Brandyn White, Mubarak Shah
ISDA
2009
IEEE
15 years 8 months ago
GPU-Based Road Sign Detection Using Particle Swarm Optimization
—Road Sign Detection is a major goal of Advanced Driving Assistance Systems (ADAS). Since the dawn of this discipline, much work based on different techniques has been published ...
Luca Mussi, Stefano Cagnoni, Fabio Daolio
PRL
2008
161views more  PRL 2008»
15 years 26 days ago
Automatic kernel clustering with a Multi-Elitist Particle Swarm Optimization Algorithm
This article introduces a scheme for clustering complex and linearly non-separable datasets, without any prior knowledge of the number of naturally occurring groups in the data. T...
Swagatam Das, Ajith Abraham, Amit Konar