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» Sequential variable sampling plan for normal distribution
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TSP
2008
92views more  TSP 2008»
13 years 8 months ago
Distributed Structures, Sequential Optimization, and Quantization for Detection
Abstract--In the design of distributed quantization systems one inevitably confronts two types of constraints--those imposed by a distributed system's structure and those impo...
Michael A. Lexa, Don H. Johnson
SAC
2011
ACM
13 years 3 months ago
Slice sampling mixture models
We propose a more efficient version of the slice sampler for Dirichlet process mixture models described by Walker (2007). This sampler allows the fitting of infinite mixture mod...
Maria Kalli, Jim E. Griffin, Stephen G. Walker
ECCV
2002
Springer
14 years 10 months ago
Hyperdynamics Importance Sampling
Sequential random sampling (`Markov Chain Monte-Carlo') is a popular strategy for many vision problems involving multimodal distributions over high-dimensional parameter spac...
Cristian Sminchisescu, Bill Triggs
SAC
2011
ACM
13 years 3 months ago
Stochastic matching pursuit for Bayesian variable selection
This article proposes a stochastic version of the matching pursuit algorithm for Bayesian variable selection in linear regression. In the Bayesian formulation, the prior distributi...
Ray-Bing Chen, Chi-Hsiang Chu, Te-You Lai, Ying Ni...
IJCNN
2006
IEEE
14 years 2 months ago
A Monte Carlo Sequential Estimation for Point Process Optimum Filtering
— Adaptive filtering is normally utilized to estimate system states or outputs from continuous valued observations, and it is of limited use when the observations are discrete e...
Yiwen Wang 0002, António R. C. Paiva, Jose ...