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NIPS
2000
15 years 8 months ago
Active Learning for Parameter Estimation in Bayesian Networks
Bayesian networks are graphical representations of probability distributions. In virtually all of the work on learning these networks, the assumption is that we are presented with...
Simon Tong, Daphne Koller
CLEIEJ
2008
103views more  CLEIEJ 2008»
15 years 6 months ago
An Ontology-based Framework and its Application to Effective Collaboration
In the past few years Artificial Intelligence has been gradually introduced to enhance Education through technologies. However, usual approaches provide systems with a kind of exp...
Seiji Isotani, Riichiro Mizoguchi
CVPR
2012
IEEE
13 years 9 months ago
Point cloud matching based on 3D self-similarity
Point cloud is one of the primitive representations of 3D data nowadays. Despite that much work has been done in 2D image matching, matching 3D points achieved from different pers...
Jing Huang, Suya You
EXPERT
2006
94views more  EXPERT 2006»
15 years 6 months ago
A Canonical Agent Model for Healthcare Applications
o address the need for canonical abstraction, we've adopted software engineering's concept of signatures--a technique for defining software patterns or invariant procedur...
John Fox, David Glasspool, Sanjay Modgil
ICIP
2001
IEEE
16 years 8 months ago
Improving a genetic algorithm segmentation by means of a fast edge detection technique
Thispaper presents a new hybrid range image segmentation approach. Two separate techniques are applied consecutively. First, iin edge based segmentation technique extracts the edg...
Angel Domingo Sappa, Vitoantonio Bevilacqua, Miche...