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» Methods for Evolving Robust Programs
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ICRA
2005
IEEE
142views Robotics» more  ICRA 2005»
14 years 2 months ago
Grasp Recognition for Programming by Demonstration
— The demand for flexible and re-programmable robots has increased the need for programming by demonstration systems. In this paper, grasp recognition is considered in a program...
Staffan Ekvall, Danica Kragic
GECCO
2006
Springer
218views Optimization» more  GECCO 2006»
14 years 24 days ago
A survey of mutation techniques in genetic programming
The importance of mutation varies across evolutionary computation domains including: genetic programming, evolution strategies, and genetic algorithms. In the genetic programming ...
Alan Piszcz, Terence Soule
GLOBECOM
2007
IEEE
14 years 3 months ago
Robust Chebyshev FIR Equalization
Abstract—In Chebyshev finite-impulse response (FIR) equalization, we design an FIR filter that minimizes the Chebyshev equalization error, i.e., the maximum absolute deviation ...
Almir Mutapcic, Seung-Jean Kim, Stephen P. Boyd
AUTOMATICA
2005
152views more  AUTOMATICA 2005»
13 years 9 months ago
Identification of dynamical systems with a robust interval fuzzy model
In this paper we present a new method of interval fuzzy model identification. The method combines a fuzzy identification methodology with some ideas from linear programming theory...
Igor Skrjanc, Saso Blazic, Osvaldo E. Agamennoni
CVPR
2011
IEEE
13 years 27 days ago
A Global Optimization Approach to Robust Multi-Model Fitting
We present a novel Quadratic Program (QP) formulation for robust multi-model fitting of geometric structures in vision data. Our objective function enforces both the fidelity of...
Jin Yu, Tat-Jun Chin, David Suter