164 search results - page 6 / 33 » Stochastic MINLP optimization using simplicial approximation |
APPROX
2005
Springer
14 years 2 months ago
2005
Springer
The field of stochastic optimization studies decision making under uncertainty, when only probabilistic information about the future is available. Finding approximate solutions to...
SIAMCO
2000
13 years 8 months ago
2000
It is shown here that stability of the stochastic approximation algorithm is implied by the asymptotic stability of the origin for an associated ODE. This in turn implies convergen...
ECCV
2008
Springer
14 years 10 months ago
2008
Springer
Abstract. We present a technique for learning the parameters of a continuousstate Markov random field (MRF) model of optical flow, by minimizing the training loss for a set of grou...
ISBI
2004
IEEE
14 years 9 months ago
2004
IEEE
We present a new fast implementation of a non-rigid registration algorithm, based on a finite element elastic deformation model using the mutual information metric with a linear e...
SARA
2007
Springer
14 years 2 months ago
2007
Springer
Most algorithms for computing diagnoses within a modelbased diagnosis framework are deterministic. Such algorithms guarantee soundness and completeness, but are NPhard. To overcom...