286 search results - page 9 / 58 » A Markov Chain Model of the B-Cell Algorithm |
ICML
2004
IEEE
15 years 10 months ago
2004
IEEE
A standard method for approximating averages in probabilistic models is to construct a Markov chain in the product space of the random variables with the desired equilibrium distr...
85
Voted
ICIP
2010
IEEE
14 years 7 months ago
2010
IEEE
Based on the theory of Markov Random Fields, a Bayesian regularization model for diffusion tensor images (DTI) is proposed in this paper. The low-degree parameterization of diffus...
CDC
2009
IEEE
15 years 2 months ago
2009
IEEE
— This paper addresses model reduction for a Markov chain on a large state space. A simulation-based framework is introduced to perform state aggregation of the Markov chain base...
ECCV
2002
Springer
15 years 11 months ago
2002
Springer
We propose Markov chain Monte Carlo sampling methods to address uncertainty estimation in disparity computation. We consider this problem at a postprocessing stage, i.e. once the d...
SYRCODIS
2008
14 years 11 months ago
2008
In this paper we offer several models of reference sequences (traces of references) using Markov chains for testing of the replacement policies in caching systems. These models en...