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CVPR
2005
IEEE
15 years 8 months ago
Online Selecting Discriminative Tracking Features Using Particle Filter
The paper proposes a method to keep the tracker robust to background clutters by online selecting discriminative features from a large feature space. Furthermore, the feature sele...
Jianyu Wang, Xilin Chen, Wen Gao
GECCO
2005
Springer
135views Optimization» more  GECCO 2005»
15 years 8 months ago
Improving particle swarm optimization with differentially perturbed velocity
This paper introduces a novel scheme of improving the performance of particle swarm optimization (PSO) by a vector differential operator borrowed from differential evolution (DE)....
Swagatam Das, Amit Konar, Uday Kumar Chakraborty
CDC
2009
IEEE
116views Control Systems» more  CDC 2009»
15 years 7 months ago
A QSS approach for particle source identification in Tore Supra tokamak
In this work, we consider the problem of particle source identification from distributed electron density measurements in fusion plasmas, such as the ones obtained in Tore Supra t...
Emmanuel Witrant, Marc Goniche, E. Tore Supra
ENGL
2007
119views more  ENGL 2007»
15 years 3 months ago
Interactive Physically-Based Modeling for Gaseous Object using Smoothed Particle Hydrodynamics
— This paper presents an interactive method of modelling the various kind of fluid based on Smoothed Particle Hydrodynamics (SPH) in modelling and simulating the gas flow with fr...
Suriyong Lertkulvanich, Sanan Srakaew
TEC
2008
109views more  TEC 2008»
15 years 3 months ago
Particle Swarm Optimization: Basic Concepts, Variants and Applications in Power Systems
Many areas in power systems require solving one or more nonlinear optimization problems. While analytical methods might suffer from slow convergence and the curse of dimensionality...
Y. del Valle, Ganesh K. Venayagamoorthy, Salman Mo...