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» Bayesian Parameter Estimation: A Monte Carlo Approach
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ICCV
2001
IEEE
14 years 9 months ago
A Co-inference Approach to Robust Visual Tracking
Visual trackan,g cou,ld be treeted as a param,eter estim.ation. problem, of target representastionbased on observations in im,age sequ.ences. A rich,er target represen,tation, wou...
Ying Wu, Thomas S. Huang
CVPR
2000
IEEE
14 years 9 months ago
Learning in Gibbsian Fields: How Accurate and How Fast Can It Be?
?Gibbsian fields or Markov random fields are widely used in Bayesian image analysis, but learning Gibbs models is computationally expensive. The computational complexity is pronoun...
Song Chun Zhu, Xiuwen Liu
ISSRE
2003
IEEE
14 years 19 days ago
Assessing Uncertainty in Reliability of Component-Based Software Systems
Many architecture–based software reliability models were proposed in the past. Regardless of the accuracy of these models, if a considerable uncertainty exists in the estimates ...
Katerina Goseva-Popstojanova, Sunil Kamavaram
TSP
2008
99views more  TSP 2008»
13 years 7 months ago
Adaptive Polarized Waveform Design for Target Tracking Based on Sequential Bayesian Inference
Abstract--In this paper, we develop an adaptive waveform design method for target tracking under a framework of sequential Bayesian inference. We employ polarization diversity to i...
Martin Hurtado, Tong Zhao, Arye Nehorai
MCS
2007
Springer
13 years 6 months ago
Computing the principal eigenvalue of the Laplace operator by a stochastic method
We describe a Monte Carlo method for the numerical computation of the principal eigenvalue of the Laplace operator in a bounded domain with Dirichlet conditions. It is based on th...
Antoine Lejay, Sylvain Maire