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AUTOMATICA
2010
99views more  AUTOMATICA 2010»
15 years 5 months ago
Two nonlinear optimization methods for black box identification compared
: In this paper, two nonlinear optimization methods for the identification of nonlinear systems are compared. Both methods estimate all the parameters of a polynomial nonlinear sta...
Anne Van Mulders, Johan Schoukens, Marnix Volckaer...
ESWA
2006
165views more  ESWA 2006»
15 years 5 months ago
Optimal ensemble construction via meta-evolutionary ensembles
In this paper we propose a meta-evolutionary approach to improve on the performance of individual classifiers. In the proposed system, individual classifiers evolve, competing to ...
YongSeog Kim, W. Nick Street, Filippo Menczer
127
Voted
TIT
2008
90views more  TIT 2008»
15 years 5 months ago
On Optimal Quantization Rules for Some Problems in Sequential Decentralized Detection
We consider the design of systems for sequential decentralized detection, a problem that entails several interdependent choices: the choice of a stopping rule (specifying the samp...
XuanLong Nguyen, Martin J. Wainwright, Michael I. ...
GECCO
2009
Springer
103views Optimization» more  GECCO 2009»
15 years 2 months ago
Bumblebees: a multiagent combinatorial optimization algorithm inspired by social insect behaviour
This paper introduces a multiagent optimization algorithm inspired by the collective behavior of social insects. In our method, each agent encodes a possible solution of the probl...
Francesc Comellas, Jesus Martinez-Navarro
190
Voted
CVPR
2012
IEEE
13 years 7 months ago
Globally optimal hand-eye calibration
This paper introduces simultaneous globally optimal hand-eye self-calibration in both its rotational and translational components. The main contributions are new feasibility tests...
Thomas Ruland, Tomás Pajdla, Lars Krüg...