298 search results - page 1 / 60 » Approximate Inference and Constrained Optimization |
UAI
2003
13 years 6 months ago
2003
Loopy and generalized belief propagation are popular algorithms for approximate inference in Markov random fields and Bayesian networks. Fixed points of these algorithms correspo...
INFOCOM
2009
IEEE
13 years 11 months ago
2009
IEEE
—A novel formulation for optimal sensor selection and in-network fusion for distributed inference known as the prizecollecting data fusion (PCDF) is proposed in terms of optimal ...
CVPR
2009
IEEE
14 years 11 months ago
2009
IEEE
The accurate localization of facial features plays a fundamental
role in any face recognition pipeline. Constrained
local models (CLM) provide an effective approach to localizati...
CDC
2010
IEEE
2010
IEEE
Convergence of discrete-time approximations of constrained linear-quadratic optimal control problems
12 years 11 months ago
Abstract-- Continuous-time linear constrained optimal control problems are in practice often solved using discretization techniques, e.g. in model predictive control (MPC). This re...
PPSN
2004
Springer
13 years 10 months ago
2004
Springer
Abstract. The paper describes an evolutionary algorithm for the general nonlinear programming problem using a surrogate model. Surrogate models are used in optimization when model ...