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» New interval methods for constrained global optimization
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ICCV
2009
IEEE
16 years 8 months ago
Multimodal Partial Estimates Fusion
Fusing partial estimates is a critical and common problem in many computer vision tasks such as part-based detection and tracking. It generally becomes complicated and intractab...
Jiang Xu, Junsong Yuan, YingWu
192
Voted
WEA
2010
Springer
243views Algorithms» more  WEA 2010»
15 years 10 months ago
Experiments with a Feasibility Pump Approach for Nonconvex MINLPs
We present a new Feasibility Pump algorithm tailored for nonconvex Mixed Integer Nonlinear Programming problems. Differences with the previously proposed Feasibility Pump algorith...
Claudia D'Ambrosio, Antonio Frangioni, Leo Liberti...
84
Voted
IWANN
2007
Springer
15 years 9 months ago
An EA Multi-model Selection for SVM Multiclass Schemes
Multiclass problems with binary SVM classifiers are commonly treated as a decomposition in several binary sub-problems. An open question is how to properly tune all these sub-prob...
Gilles Lebrun, Olivier Lezoray, Christophe Charrie...
102
Voted
CDC
2009
IEEE
189views Control Systems» more  CDC 2009»
15 years 8 months ago
Dirac mixture approximation of multivariate Gaussian densities
— For the optimal approximation of multivariate Gaussian densities by means of Dirac mixtures, i.e., by means of a sum of weighted Dirac distributions on a continuous domain, a n...
Uwe D. Hanebeck, Marco F. Huber, Vesa Klumpp
146
Voted
CISS
2008
IEEE
15 years 10 months ago
Peer-to-Peer utility maximization
—In this paper, we study the problem of utility maximization in Peer-to-Peer (P2P) systems, in which aggregate utilities are maximized by running distributed algorithms on P2P no...
Minghua Chen, Sudipta Sengupta, Miroslav Ponec, Ph...