160 search results - page 3 / 32 » Maximum a posteriori based regularization parameter selectio... |
DAGM
2008
Springer
13 years 7 months ago
2008
Springer
We investigate maximum likelihood parameter learning in Conditional Random Fields (CRF) and present an empirical study of pseudo-likelihood (PL) based approximations of the paramet...
CVPR
2009
IEEE
15 years 1 months ago
2009
IEEE
Feature selection plays a fundamental role in many pattern
recognition problems. However, most efforts have been
focused on the supervised scenario, while unsupervised feature
s...
ICIP
2005
IEEE
13 years 11 months ago
2005
IEEE
We address the reconstruction of a 3D image from a set of incomplete X-ray tomographic data. In the case where the image is composed of one or several objects lying in a uniform b...
IEICET
2007
13 years 6 months ago
2007
In order to obtain better learning results in supervised learning, it is important to choose model parameters appropriately. Model selection is usually carried out by preparing a ...
CLASSIFICATION
2007
13 years 6 months ago
2007
Normal mixture models are widely used for statistical modeling of data, including cluster analysis. However maximum likelihood estimation (MLE) for normal mixtures using the EM al...