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ICMLA
2007
15 years 1 months ago
Uncertainty optimization for robust dynamic optical flow estimation
We develop an optical flow estimation framework that focuses on motion estimation over time formulated in a Dynamic Bayesian Network. It realizes a spatiotemporal integration of ...
Volker Willert, Marc Toussaint, Julian Eggert, Edg...
IJCNN
2006
IEEE
15 years 5 months ago
Ensemble Techniques for Avoiding Poor Performance in Evolved Neural Networks
— The idea of using evolutionary techniques to optimize the performance of neural networks is now widely used, but some approaches have been found to result in the evolution of r...
John A. Bullinaria
EUROGP
2005
Springer
103views Optimization» more  EUROGP 2005»
15 years 5 months ago
GP-EndChess: Using Genetic Programming to Evolve Chess Endgame Players
We apply genetic programming to the evolution of strategies for playing chess endgames. Our evolved programs are able to draw or win against an expert human-based strategy, and dra...
Ami Hauptman, Moshe Sipper
CDC
2008
IEEE
125views Control Systems» more  CDC 2008»
15 years 6 months ago
Robust closed-loop control of plasma glycemia: A discrete-delay model approach
The paper investigates the problem of tracking a desired plasma glucose evolution by means of intra-venous insulin administration. A modelbased approach is followed. A recent model...
Pasquale Palumbo, Pierdomenico Pepe, Simona Panunz...
CDC
2010
IEEE
133views Control Systems» more  CDC 2010»
14 years 6 months ago
Robustness of funnel control in the gap metric
For m-input, m-output, finite-dimensional, linear systems satisfying the classical assumptions of adaptive control (i.e., (i) minimum phase, (ii) relative degree one and (iii) pos...
Achim Ilchmann, Markus Mueller