Sciweavers

407 search results - page 44 / 82
» Monte Carlo simulation approach to stochastic programming
Sort
View
WSC
1998
15 years 7 months ago
Bayesian Model Selection when the Number of Components is Unknown
In simulation modeling and analysis, there are two situations where there is uncertainty about the number of parameters needed to specify a model. The first is in input modeling w...
Russell C. H. Cheng
ICARCV
2006
IEEE
180views Robotics» more  ICARCV 2006»
16 years 4 days ago
Simultaneous Localization and Mapping with Stereo Vision
— In the simultaneous localization and mapping (SLAM) problem, a mobile robot must build a map of its environment while simultaneously determining its location within that map. W...
Matthew N. Dailey, Manukid Parnichkun
145
Voted
MICCAI
2007
Springer
16 years 7 months ago
SMT: Split and Merge Tractography for DT-MRI
Diffusion tensor magnetic resonance imaging (DT-MRI) based fiber tractography aims at reconstruction of the fiber network of brain. Most commonly employed techniques for fiber trac...
Ugur Bozkaya, Burak Acar
ICCS
2007
Springer
15 years 10 months ago
Distributed Applications from Scratch: Using GridMD Workflow Patterns
A new approach is proposed to generate workflow scenarios of scientific applications such as Molecular Dynamics and Monte-Carlo simulations in a distributed environment. The approa...
I. Morozov, Ilya Valuev
SIAMREV
2010
132views more  SIAMREV 2010»
15 years 25 days ago
A Stochastic Collocation Method for Elliptic Partial Differential Equations with Random Input Data
In this paper we propose and analyze a Stochastic-Collocation method to solve elliptic Partial Differential Equations with random coefficients and forcing terms (input data of the...
Ivo Babuska, Fabio Nobile, Raúl Tempone