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AUTOMATICA
2008
92views more  AUTOMATICA 2008»
15 years 6 months 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
SDM
2009
SIAM
204views Data Mining» more  SDM 2009»
16 years 3 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»
15 years 4 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
DAC
2011
ACM
14 years 5 months 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...
CVPR
2007
IEEE
16 years 8 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