201 search results - page 12 / 41 » Optimizing an objective function under a bivariate probabili... |
SSIAI
2000
IEEE
13 years 12 months ago
2000
IEEE
In this paper we propose a new probabilistic relaxation framework to perform robust multiple motion estimation and segmentation from a sequence of images. Our approach uses displa...
ICRA
2002
IEEE
14 years 15 days ago
2002
IEEE
Effective image segmentation of a digitized scene into a set of recognizable objects requires the development of sophisticated scene analysis algorithms. Progress in this area has...
NECO
2008
13 years 7 months ago
2008
In signal restoration by Bayesian inference, one typically uses a parametric model of the prior distribution of the signal. Here, we consider how the parameters of a prior model s...
GLOBECOM
2007
IEEE
14 years 1 months ago
2007
IEEE
In traditional call admission control (CAC) schemes, mobile users are always the passive roles during the admission procedures and the base station determines whether to admit o...
EVOW
2006
Springer
13 years 11 months ago
2006
Springer
Abstract. Real-world optimization problems are often subject to uncertainties, which can arise regarding stochastic model parameters, objective functions and decision variables. Th...