179 search results - page 11 / 36 » Feature Correspondence: A Markov Chain Monte Carlo Approach |
IPSN
2004
Springer
14 years 26 days ago
2004
Springer
We present a methodology for a sensor network to answer queries with limited and stochastic information using probabilistic techniques. This capability is useful in that it allows...
ICASSP
2011
IEEE
12 years 11 months ago
2011
IEEE
This paper studies a variational Bayesian unmixing algorithm for hyperspectral images based on the standard linear mixing model. Each pixel of the image is modeled as a linear com...
IJCNN
2000
IEEE
13 years 12 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...
ICIP
2002
IEEE
14 years 9 months ago
2002
IEEE
We describe a method for inferring tree-like vascular structures from 2D imagery. A Markov Chain Monte Carlo (MCMC) algorithm is employed to produce approximate samples from the p...
NAA
2000
Springer
13 years 11 months ago
2000
Springer
Abstract. The convergence of Monte Carlo method for numerical integration can often be improved by replacing pseudorandom numbers (PRNs) with more uniformly distributed numbers kno...