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ECCV
2006
Springer
16 years 8 months ago
Accelerated Convergence Using Dynamic Mean Shift
Mean shift is an iterative mode-seeking algorithm widely used in pattern recognition and computer vision. However, its convergence is sometimes too slow to be practical. In this pa...
Kai Zhang, James T. Kwok, Ming Tang
201
Voted
ICDM
2002
IEEE
448views Data Mining» more  ICDM 2002»
15 years 11 months ago
Feature Selection Algorithms: A Survey and Experimental Evaluation
In view of the substantial number of existing feature selection algorithms, the need arises to count on criteria that enables to adequately decide which algorithm to use in certai...
Luis Carlos Molina, Lluís Belanche, À...
ICIC
2009
Springer
16 years 1 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
IROS
2006
IEEE
105views Robotics» more  IROS 2006»
16 years 13 days ago
Combinatorial Optimization of Sensing for Rule-Based Planar Distributed Assembly
Abstract— We describe a model for planar distributed assembly, in which agents move randomly and independently on a twodimensional grid, joining square blocks together to form a ...
Jonathan Kelly, Hong Zhang
157
Voted
CEC
2008
IEEE
16 years 27 days ago
Potential and dynamics-based Particle Swarm Optimization
Abstract— The Particle Swarm Optimization (PSO) algorithm is a robust stochastic evolutionary computation technique based on the movement and intelligence of swarms. This paper p...
Hyungmin Park, Jong-Hwan Kim