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» Parallel Computer Workload Modeling with Markov Chains
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ECCV
2004
Springer
16 years 1 months ago
An MCMC-Based Particle Filter for Tracking Multiple Interacting Targets
Abstract. We describe a Markov chain Monte Carlo based particle filter that effectively deals with interacting targets, i.e., targets that are influenced by the proximity and/or be...
Zia Khan, Tucker R. Balch, Frank Dellaert
TASE
2008
IEEE
14 years 11 months ago
Stochastic Modeling of an Automated Guided Vehicle System With One Vehicle and a Closed-Loop Path
Abstract--The use of automated guided vehicles (AGVs) in material-handling processes of manufacturing facilities and warehouses isbecomingincreasinglycommon.AcriticaldrawbackofanAG...
Aykut F. Kahraman, Abhijit Gosavi, Karla J. Oty
MA
2010
Springer
172views Communications» more  MA 2010»
14 years 10 months ago
On Monte Carlo methods for Bayesian multivariate regression models with heavy-tailed errors
We consider Bayesian analysis of data from multivariate linear regression models whose errors have a distribution that is a scale mixture of normals. Such models are used to analy...
Vivekananda Roy, James P. Hobert
CVPR
2007
IEEE
16 years 1 months ago
Compositional Boosting for Computing Hierarchical Image Structures
In this paper, we present a compositional boosting algorithm for detecting and recognizing 17 common image structures in low-middle level vision tasks. These structures, called &q...
Tianfu Wu, Gui-Song Xia, Song Chun Zhu
CLUSTER
2005
IEEE
15 years 5 months ago
Load Balancing using Grid-based Peer-to-Peer Parallel I/O
In the area of Grid computing, there is a growing need to process large amounts of data. To support this trend, we need to develop efficient parallel storage systems that can prov...
Yijian Wang, David R. Kaeli