305 search results - page 12 / 61 » Markov Chain Monte Carlo with People |
PR
2011
12 years 10 months ago
2011
One of the main shortcomings of Markov chain Monte Carlo samplers is their inability to mix between modes of the target distribution. In this paper we show that advance knowledge ...
ICPR
2010
IEEE
14 years 18 days ago
2010
IEEE
In this paper, we develop a neurobiologicallymotivated statistical method for video analysis that simultaneously searches the combined motion and form space in a concerted and efï...
MA
2010
Springer
13 years 5 months ago
2010
Springer
We consider Bayesian analysis of data from multivariate linear regression models whose errors have a distribution that is a scale mixture of normals. Such models are used to analy...
SAC
2008
ACM
13 years 6 months ago
2008
ACM
Standard methods for maximum likelihood parameter estimation in latent variable models rely on the Expectation-Maximization algorithm and its Monte Carlo variants. Our approach is ...
BMVC
2000
13 years 8 months ago
2000
We tackle the problem of object recognition using a Bayesian approach. A marked point process [1] is used as a prior model for the (unknown number of) objects. A sample is generat...