233 search results - page 35 / 47 » CC Prediction with Graphical Models |
AAAI
2012
11 years 10 months ago
2012
We introduce a new task-independent framework to model top-down overt visual attention based on graphical models for probabilistic inference and reasoning. We describe a Dynamic B...
SODA
2001
ACM
13 years 9 months ago
2001
ACM
Markov networks are a common class of graphical models used in machine learning. Such models use an undirected graph to capture dependency information among random variables in a ...
ISBI
2008
IEEE
14 years 8 months ago
2008
IEEE
We propose a method for recursive segmentation of the left ventricle (LV) across a temporal sequence of magnetic resonance (MR) images. The approach involves a technique for learn...
RSEISP
2007
Springer
14 years 1 months ago
2007
Springer
This paper concerns the development of a new direction in machine learning, called natural induction, which requires from computergenerated knowledge not only to have high predicti...
IMAGING
2004
13 years 9 months ago
2004
A display tool has been developed to perform simulation and three-dimensional rendering of prints in the quest towards achieving improved soft proofing capabilities. It was desire...