35 search results - page 2 / 7 » Diffusion Approximation for Bayesian Markov Chains |
IJCNN
2000
IEEE
13 years 9 months ago
2000
IEEE
Bayesian MLP neural networks are a flexible tool in complex nonlinear problems. The approach is complicated by need to evaluate integrals over high-dimensional probability distri...
ECCV
2002
Springer
14 years 7 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...
CVIU
2007
13 years 5 months ago
2007
A Bayesian framework is proposed for stereo vision where solutions to both the model parameters and the disparity map are posed in terms of predictions of latent variables, given ...
TASLP
2002
13 years 4 months ago
2002
This paper applies time-varying autoregressive (TVAR) models with stochastically evolving parameters to the problem of speech modeling and enhancement. The stochastic evolution mod...
ICCV
1999
IEEE
13 years 9 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...