215 search results - page 23 / 43 » Gaussian mixture models for probabilistic localization |
ICML
2004
IEEE
14 years 9 months ago
2004
IEEE
Variational inference methods, including mean field methods and loopy belief propagation, have been widely used for approximate probabilistic inference in graphical models. While ...
JMLR
2010
13 years 3 months ago
2010
Bayesian principal component analysis (BPCA), a probabilistic reformulation of PCA with Bayesian model selection, is a systematic approach to determining the number of essential p...
ISBI
2008
IEEE
14 years 9 months ago
2008
IEEE
This paper presents a method for the segmentation of skin lesions in dermoscopy images. The proposed technique uses region based level sets and adopts a mixture of Gaussian densit...
ICDM
2010
IEEE
13 years 6 months ago
2010
IEEE
Regression problems on massive data sets are ubiquitous in many application domains including the Internet, earth and space sciences, and finances. In many cases, regression algori...
ICRA
2006
IEEE
14 years 2 months ago
2006
IEEE
This paper presents an architecture for solving generically the problem of extracting the constraints of a given task in a programming by demonstration framework and the problem...