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» Monte Carlo Methods for Process Algebra
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TSP
2008
157views more  TSP 2008»
13 years 5 months ago
Sequential Monte Carlo Methods for Tracking Multiple Targets With Deterministic and Stochastic Constraints
In multitarget scenarios, kinematic constraints from the interaction of targets with their environment or other targets can restrict target motion. Such motion constraint informati...
Ioannis Kyriakides, Darryl Morrell, Antonia Papand...
JMLR
2010
184views more  JMLR 2010»
13 years 3 days ago
Sequential Monte Carlo Samplers for Dirichlet Process Mixtures
In this paper, we develop a novel online algorithm based on the Sequential Monte Carlo (SMC) samplers framework for posterior inference in Dirichlet Process Mixtures (DPM) (DelMor...
Yener Ülker, Bilge Günsel, Ali Taylan Ce...
IJAR
2006
98views more  IJAR 2006»
13 years 5 months ago
A forward-backward Monte Carlo method for solving influence diagrams
Although influence diagrams are powerful tools for representing and solving complex decisionmaking problems, their evaluation may require an enormous computational effort and this...
Andrés Cano, Manuel Gómez, Seraf&iac...
SIAMSC
2008
131views more  SIAMSC 2008»
13 years 5 months ago
Fast Monte Carlo Simulation Methods for Biological Reaction-Diffusion Systems in Solution and on Surfaces
Many important physiological processes operate at time and space scales far beyond those accessible to atom-realistic simulations, and yet discrete stochastic rather than continuum...
Rex A. Kerr, Thomas M. Bartol, Boris Kaminsky, Mar...
IJCV
2008
188views more  IJCV 2008»
13 years 5 months ago
Partial Linear Gaussian Models for Tracking in Image Sequences Using Sequential Monte Carlo Methods
The recent development of Sequential Monte Carlo methods (also called particle filters) has enabled the definition of efficient algorithms for tracking applications in image sequen...
Elise Arnaud, Étienne Mémin