564 search results - page 26 / 113 » Bayesian Parameter Estimation: A Monte Carlo Approach |
179
click to vote
CVPR
2012
IEEE
11 years 9 months ago
2012
IEEE
A novel approach for event summarization and rare event detection is proposed. Unlike conventional methods that deal with event summarization and rare event detection independently...
CVPR
2005
IEEE
14 years 9 months ago
2005
IEEE
Particle filtering provides a general framework for propagating probability density functions in non-linear and non-Gaussian systems. However, the algorithm is based on a Monte Ca...
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...
CVPR
1999
IEEE
13 years 11 months ago
1999
IEEE
We introduce an approach to feature-based object recognition, using maximum a posteriori (MAP) estimation under a Markov random field (MRF) model. This approach provides an effici...
UAI
2000
13 years 8 months ago
2000
The K-Means and EM algorithms are popular in clustering and mixture modeling due to their simplicity and ease of implementation. However, they have several significant limitations...