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PKDD
2009
Springer
146views Data Mining» more  PKDD 2009»
14 years 3 months ago
Parallel Subspace Sampling for Particle Filtering in Dynamic Bayesian Networks
Monitoring the variables of real world dynamic systems is a difficult task due to their inherent complexity and uncertainty. Particle Filters (PF) perform that task, yielding prob...
Eva Besada-Portas, Sergey M. Plis, Jesús Ma...
SIBGRAPI
2007
IEEE
14 years 4 months ago
Multiple Mice Tracking using a Combination of Particle Filter and K-Means
This paper presents a new approach to multiple objects tracking that combines particle filters and k-means. The approach has been tested under an important real world situation, ...
Wesley Nunes Gonçalves, João Bosco O...
ICPR
2010
IEEE
14 years 3 months ago
Maximum Likelihood Estimation of Gaussian Mixture Models Using Particle Swarm Optimization
—We present solutions to two problems that prevent the effective use of population-based algorithms in clustering problems. The first solution presents a new representation for ...
Caglar Ari, Selim Aksoy
EUSFLAT
2009
194views Fuzzy Logic» more  EUSFLAT 2009»
13 years 8 months ago
A Fuzzy Particle Swarm Optimization Algorithm for a Cell Formation Problem
Group technology (GT) is a useful way to increase productivity with high quality in cellular manufacturing systems (CMSs), in which cell formation (CF) is a key step in the GT phil...
Esmaeil Mehdizadeh, Reza Tavakkoli-Moghaddam
CEC
2009
IEEE
14 years 5 months ago
GPU-based parallel particle swarm optimization
— A novel parallel approach to run standard particle swarm optimization (SPSO) on Graphic Processing Unit (GPU) is presented in this paper. By using the general-purpose computing...
You Zhou, Ying Tan