3677 search results - page 405 / 736 » Is a probabilistic modeling |
189
click to vote
SUM
2009
Springer
16 years 1 months ago
2009
Springer
Bayesian networks are probabilistic graphical models widely employed in AI for the implementation of knowledge-based systems. Standard inference algorithms can update the beliefs a...
206
click to vote
ICML
2000
IEEE
16 years 7 months ago
2000
IEEE
Hidden Markov models (HMMs) are a powerful probabilistic tool for modeling sequential data, and have been applied with success to many text-related tasks, such as part-of-speech t...
185
click to vote
ICASSP
2011
IEEE
14 years 10 months ago
2011
IEEE
Traditional binary hypothesis testing relies on the precise knowledge of the probability density of an observed random vector conditioned on each hypothesis. However, for many app...
169
click to vote
ISBI
2008
IEEE
16 years 7 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...
162
click to vote
ICARCV
2008
IEEE
16 years 1 months ago
2008
IEEE
—In order to navigate safely, it is important to detect and to react to a potentially dangerous situation. Such a situation can be underlined by a judicious use of the locations ...