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96
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AUTOMATICA
2008
92views more  AUTOMATICA 2008»
15 years 17 days ago
Box particle filtering for nonlinear state estimation using interval analysis
In recent years particle ...lters have been applied to a variety of state estimation problems. A particle ...lter is a sequential Monte Carlo Bayesian estimator of the posterior d...
Fahed Abdallah, Amadou Gning, Philippe Bonnifait
112
Voted
SDM
2009
SIAM
204views Data Mining» more  SDM 2009»
15 years 9 months ago
Application of Bayesian Partition Models in Warranty Data Analysis.
Automotive companies are forced to continuously extend and improve their product line-up. However, increasing diversity, higher design complexity, and shorter development cycles c...
Axel Blumenstock, Christoph Schlieder, Markus M&uu...
COGSCI
2008
75views more  COGSCI 2008»
14 years 11 months ago
Exemplars, Prototypes, Similarities, and Rules in Category Representation: An Example of Hierarchical Bayesian Analysis
This article demonstrates the potential of using hierarchical Bayesian methods to relate models and data in the cognitive sciences. This is done using a worked example that consid...
Michael D. Lee, Wolf Vanpaemel
137
Voted
DAC
2011
ACM
14 years 7 days ago
TSV stress-aware full-chip mechanical reliability analysis and optimization for 3D IC
In this work, we propose an efficient and accurate full-chip thermomechanical stress and reliability analysis tool and design optimization methodology to alleviate mechanical rel...
Moongon Jung, Joydeep Mitra, David Z. Pan, Sung Ky...
105
Voted
CVPR
2007
IEEE
16 years 2 months ago
A Lagrangian Particle Dynamics Approach for Crowd Flow Segmentation and Stability Analysis
This paper proposes a framework in which Lagrangian Particle Dynamics is used for the segmentation of high density crowd flows and detection of flow instabilities. For this purpos...
Saad Ali, Mubarak Shah