727 search results - page 79 / 146 » On Bayesian model and variable selection using MCMC |
109
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ICCV
2005
IEEE
15 years 11 months ago
2005
IEEE
In this paper, we present a two-layer generative model that incorporates generic middle-level visual knowledge for dense stereo reconstruction. The visual knowledge is represented...
123
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ECCV
2002
Springer
15 years 11 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...
ICDM
2010
IEEE
14 years 7 months ago
2010
IEEE
In this paper, we study probabilistic modeling of heterogeneously attributed multi-dimensional arrays. The model can manage the heterogeneity by employing an individual exponential...
CSDA
2006
14 years 9 months ago
2006
The logistic regression model is used to predict a binary response variable in terms of a set of explicative ones. The estimation of the model parameters is not too accurate and t...
IWANN
2009
Springer
15 years 4 months ago
2009
Springer
Frequently, the number of input variables (features) involved in a problem becomes too large to be easily handled by conventional machine-learning models. This paper introduces a c...