75 search results - page 4 / 15 » A Graph Matching Algorithm using Data-Driven Markov Chain Mo... |
PR
2011
12 years 9 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 ...
CVIU
2007
13 years 6 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 ...
STOC
1997
ACM
13 years 10 months ago
1997
ACM
For a large class of examples arising in statistical physics known as attractive spin systems (e.g., the Ising model), one seeks to sample from a probability distribution π on an...
ICDE
2008
IEEE
14 years 7 months ago
2008
IEEE
In this paper, we develop a model for representing term dependence based on Markov Random Fields and present an approach based on Markov Chain Monte Carlo technique for generating ...
BMVC
2000
13 years 7 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...