383 search results - page 6 / 77 » A particle filtering framework for randomized optimization a... |
143
Voted
CVPR
2004
IEEE
16 years 4 months ago
2004
IEEE
Statistical density estimation techniques are used in many computer vision applications such as object tracking, background subtraction, motion estimation and segmentation. The pa...
121
Voted
CEC
2008
IEEE
15 years 9 months ago
2008
IEEE
— In this paper, swarm and evolutionary algorithms have been applied for the design of digital filters. Particle swarm optimization (PSO) and differential evolution particle swar...
132
Voted
ICIG
2009
IEEE
15 years 16 days ago
2009
IEEE
In this paper, we present an efficient and robust subspace learning based object tracking algorithm with special illumination handling. Illumination variances pose a great challen...
129
Voted
GECCO
2006
Springer
15 years 6 months ago
2006
Springer
This paper presents a gregarious particle swarm optimization algorithm (G-PSO) in which the particles explore the search space by aggressively scouting the local minima with the h...
130
Voted
UAI
2000
15 years 4 months ago
2000
Particle filters (PFs) are powerful samplingbased inference/learning algorithms for dynamic Bayesian networks (DBNs). They allow us to treat, in a principled way, any type of prob...