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ETT
2002
93views Education» more  ETT 2002»
13 years 8 months ago
Quantum simulation - rare event simulation by means of cloning, thinning and distortion
A method of rare event simulation, termed here quantum simulation, and known also (with some variations) as population Monte Carlo, and Sequential Markov Chain simulation, is appli...
R. G. Addie
TASLP
2002
109views more  TASLP 2002»
13 years 8 months ago
Particle methods for Bayesian modeling and enhancement of speech signals
This paper applies time-varying autoregressive (TVAR) models with stochastically evolving parameters to the problem of speech modeling and enhancement. The stochastic evolution mod...
Jaco Vermaak, Christophe Andrieu, Arnaud Doucet, S...
CSDA
2011
13 years 3 months ago
Mapping electron density in the ionosphere: A principal component MCMC algorithm
The outer layers of the Earth’s atmosphere are known as the ionosphere, a plasma of free electrons and positively charged atomic ions. The electron density of the ionosphere var...
Eman Khorsheed, Merrilee Hurn, Christopher Jenniso...
SAC
2010
ACM
13 years 3 months ago
Probabilistic relabelling strategies for the label switching problem in Bayesian mixture models
The label switching problem is caused by the likelihood of a Bayesian mixture model being invariant to permutations of the labels. The permutation can change multiple times betwee...
M. Sperrin, Thomas Jaki, E. Wit
ECCV
2004
Springer
14 years 10 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