528 search results - page 15 / 106 » Computing Large and Small Stable Models |
ICCV
1999
IEEE
13 years 12 months ago
1999
IEEE
:We formulate structure from motion as a Bayesian inference problem, and use a Markov chain Monte Carlo sampler to sample the posterior on this problem. This results in a method th...
ECAI
2004
Springer
14 years 1 months ago
2004
Springer
Advances in data collection technologies allow accumulation of large and high dimensional datasets and provide opportunities for learning high quality classification and regression...
MICCAI
2008
Springer
14 years 8 months ago
2008
Springer
This paper presents a new method for computing elastic and plastic deformations in the context of discrete deformable model-based registration. Internal forces are estimated by ave...
UAI
2008
13 years 9 months ago
2008
Variational Bayesian inference and (collapsed) Gibbs sampling are the two important classes of inference algorithms for Bayesian networks. Both have their advantages and disadvant...
NC
2006
13 years 7 months ago
2006
Multivariate Time Series (MTS) data are widely available in different fields including medicine, finance, bioinformatics, science and engineering. Modelling MTS data accurately is...