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» Modeling GA Performance for Control Parameter Optimization
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TSMC
1998
78views more  TSMC 1998»
15 years 1 months ago
Automata learning and intelligent tertiary searching for stochastic point location
—Consider the problem of a robot (learning mechanism or algorithm) attempting to locate a point on a line. The mechanism interacts with a random environment which essentially inf...
B. John Oommen, Govindachari Raghunath
JSA
2007
84views more  JSA 2007»
15 years 1 months ago
Optimizing data structures at the modeling level in embedded multimedia
Traditional design techniques for embedded systems apply transformations on the source code to optimize hardwarerelated cost factors. Unfortunately, such transformations cannot ad...
Marijn Temmerman, Edgar G. Daylight, Francky Catth...
ICAPR
2005
Springer
15 years 7 months ago
Discovering Predictive Variables When Evolving Cognitive Models
A non-dominated sorting genetic algorithm is used to evolve models of learning from different theories for multiple tasks. Correlation analysis is performed to identify parameters...
Peter C. R. Lane, Fernand Gobet
ICRA
2009
IEEE
143views Robotics» more  ICRA 2009»
15 years 8 months ago
Randomized model predictive control for robot navigation
— We suggest a new navigation approach to mobile robots, within a nonlinear model predictive control framework where a navigation function is used as a control Lyapunov function....
Jorge L. Piovesan, Herbert G. Tanner
ICIP
2004
IEEE
16 years 3 months ago
Automatic image decomposition
The decomposition of an image into its primitive components, such as cartoon plus texture, is a fundamental problem in image processing. In [11, 16], the authors proposed a techni...
Kedar A. Patwardhan, Guillermo Sapiro