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» Methods for Evolving Robust Programs
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ICRA
2005
IEEE
142views Robotics» more  ICRA 2005»
16 years 1 days 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»
15 years 10 months 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
16 years 23 days 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»
15 years 6 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
14 years 10 months 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