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SIGPRO
2008
136views more  SIGPRO 2008»
15 years 1 months ago
Estimation of slowly varying parameters in nonlinear systems via symbolic dynamic filtering
This paper introduces a novel method for real-time estimation of slowly varying parameters in nonlinear dynamical systems. The core concept is built upon the principles of symboli...
Venkatesh Rajagopalan, Subhadeep Chakraborty, Asok...
109
Voted
ICRA
2007
IEEE
173views Robotics» more  ICRA 2007»
15 years 8 months ago
Model-Based Nonlinear Observers for Underwater Vehicle Navigation: Theory and Preliminary Experiments
— This paper reports the analytical development and preliminary experimental evaluation of a class of exact nonlinear full state model-based observers for underwater vehicle navi...
James C. Kinsey, Louis L. Whitcomb
GECCO
2006
Springer
150views Optimization» more  GECCO 2006»
15 years 5 months ago
Nonlinear parametric regression in genetic programming
Genetic programming has been considered a promising approach for function approximation since it is possible to optimize both the functional form and the coefficients. However, it...
Yung-Keun Kwon, Sung-Soon Choi, Byung Ro Moon
117
Voted
ICCV
2001
IEEE
16 years 3 months ago
People Tracking Using Hybrid Monte Carlo Filtering
Particle filters are used for hidden state estimation with nonlinear dynamical systems. The inference of 3-d human motion is a natural application, given the nonlinear dynamics of...
Kiam Choo, David J. Fleet
128
Voted
ICCV
2001
IEEE
16 years 3 months ago
3D Object Tracking Using Shape-Encoded Particle Propagation
We present a comprehensive treatment of 3D object tracking by posing it as a nonlinear state estimation problem. The measurements are derived using the outputs of shape-encoded fi...
Hankyu Moon, Rama Chellappa, Azriel Rosenfeld