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GECCO
2004
Springer
106views Optimization» more  GECCO 2004»
14 years 21 days ago
The Kalman Swarm: A New Approach to Particle Motion in Swarm Optimization
Abstract. Particle Swarm Optimization is gaining momentum as a simple and effective optimization technique. We present a new approach to PSO that significantly reduces the number...
Christopher K. Monson, Kevin D. Seppi
GECCO
2005
Springer
190views Optimization» more  GECCO 2005»
14 years 25 days ago
An efficient evolutionary algorithm applied to the design of two-dimensional IIR filters
This paper presents an efficient technique of designing twodimensional IIR digital filters using a new algorithm involving the tightly coupled synergism of particle swarm optimiza...
Swagatam Das, Amit Konar, Uday Kumar Chakraborty
CVPR
2003
IEEE
14 years 9 months ago
Variational Inference for Visual Tracking
The likelihood models used in probabilistic visual tracking applications are often complex non-linear and/or nonGaussian functions, leading to analytically intractable inference. ...
Jaco Vermaak, Neil D. Lawrence, Patrick Pér...
ICCV
2003
IEEE
14 years 9 months ago
Maintaining Multi-Modality through Mixture Tracking
In recent years particle filters have become a tremendously popular tool to perform tracking for non-linear and/or non-Gaussian models. This is due to their simplicity, generality...
Arnaud Doucet, Jaco Vermaak, Patrick Pérez
MICCAI
2004
Springer
14 years 8 months ago
Surface-Based Registration with a Particle Filter
Abstract. We propose the use of a particle filter as a solution to the rigid shapebased registration problem commonly found in computer-assisted surgery. This approach is especiall...
Burton Ma, Randy E. Ellis