4 search results - page 1 / 1 » A reversible jump MCMC algorithm for Bayesian curve fitting ... |
147
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ICASSP
2011
IEEE
14 years 7 months ago
2011
IEEE
This paper proposes a Bayesian algorithm to estimate the parameters of a smooth transition regression model. With in this model, time series are divided into segments and a linear...
124
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JMLR
2010
14 years 10 months ago
2010
We propose a fully Bayesian approach for generalized kernel models (GKMs), which are extensions of generalized linear models in the feature space induced by a reproducing kernel. ...
149
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JMLR
2011
14 years 10 months ago
2011
We propose a fully Bayesian methodology for generalized kernel mixed models (GKMMs), which are extensions of generalized linear mixed models in the feature space induced by a repr...
180
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ECCV
2002
Springer
16 years 5 months ago
2002
Springer
In this paper, we present a stochastic algorithm by effective Markov chain Monte Carlo (MCMC) for segmenting and reconstructing 3D scenes. The objective is to segment a range image...