116 search results - page 7 / 24 » Monte Carlo Hierarchical Model Learning |
ICIP
2010
IEEE
13 years 5 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...
JMLR
2010
13 years 2 months ago
2010
Probabilistic models of the performance of computer systems are useful both for predicting system performance in new conditions, and for diagnosing past performance problems. The ...
ECCV
2002
Springer
14 years 9 months ago
2002
Springer
Many approaches have been proposed to locate faces in an image. There are, however, two problems in previous facial shape models using feature points. First, the dimension of the s...
PKDD
2000
Springer
13 years 11 months ago
2000
Springer
This paper investigates the use of reinforcement learning in electric power system emergency control. The approach consists of using numerical simulations together with on-policy M...
NIPS
1998
13 years 9 months ago
1998
We propose a novel strategy for training neural networks using sequential Monte Carlo algorithms. This global optimisation strategy allows us to learn the probability distribution...