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ICPR
2008
IEEE
14 years 3 months ago
Comparison of Particle Swarm Optimization and Genetic Algorithm for HMM training
Hidden Markov Model (HMM) is the dominant technology in speech recognition. The problem of optimizing model parameters is of great interest to the researchers in this area. The Ba...
Fengqin Yang, Changhai Zhang, Tieli Sun
ICARCV
2008
IEEE
200views Robotics» more  ICARCV 2008»
14 years 3 months ago
A robot behavior-learning experiment using Particle Swarm Optimization for training a neural-based animat
— We investigate the use of Particle Swarm Optimization (PSO), and compare with Genetic Algorithms (GA), for a particular robot behavior-learning task: the training of an animat ...
Fabien Moutarde
TWC
2008
194views more  TWC 2008»
13 years 9 months ago
Optimal Power Scheduling for Correlated Data Fusion in Wireless Sensor Networks via Constrained PSO
Optimal power scheduling for distributed detection in a Gaussian sensor network is addressed for both independent and correlated observations. We assume amplify-and-forward local p...
Thakshila Wimalajeewa, Sudharman K. Jayaweera
IROS
2009
IEEE
199views Robotics» more  IROS 2009»
14 years 3 months ago
Multiswarm Particle Filter for vision based SLAM
Abstract— Particle Filters have been widely used as a powerful optimization tool for nonlinear, non-Gaussian dynamic models such as Simultaneous Localization and Mapping (SLAM) a...
Hee Seok Lee, Kyoung Mu Lee
ICIC
2009
Springer
14 years 3 months ago
A Method for Multiple Sequence Alignment Based on Particle Swarm Optimization
Sequence Alignment is a basic information disposal method in Bioinformatics. However, it is difficult to deal with multiple sequence alignment problem(MSA). In this paper, an impro...
Fasheng Xu, Yuehui Chen