29 search results - page 2 / 6 » Comparison of Monte Carlo and Deterministic Methods for Non-... |
ICCV
2001
IEEE
14 years 6 months ago
2001
IEEE
?This paper presents a computational paradigm called Data-Driven Markov Chain Monte Carlo (DDMCMC) for image segmentation in the Bayesian statistical framework. The paper contribut...
CDC
2008
IEEE
13 years 11 months ago
2008
IEEE
— We define the concept of approximate domain optimizer for deterministic and expected value optimization criteria. Roughly speaking, a candidate optimizer is an approximate dom...
CVIU
2006
13 years 4 months ago
2006
We explore an approach to 3D people tracking with learned motion models and deterministic optimization. The tracking problem is formulated as the minimization of a differentiable ...
DAGSTUHL
2004
13 years 6 months ago
2004
We consider the global optimization problem for d-variate Lipschitz functions which, in a certain sense, do not increase too slowly in a neighborhood of the global minimizer(s). O...
SIAMIS
2010
12 years 11 months ago
2010
Simulated annealing (SA) and deterministic continuation are well-known generic approaches to global optimization. Deterministic continuation is computationally attractive but produ...