197 search results - page 2 / 40 » Learning a Restricted Bayesian Network for Object Detection |
ICPR
2004
IEEE
14 years 5 months ago
2004
IEEE
It was recently proposed the use of Bayesian networks for object tracking. Bayesian networks allow to model the interaction among detected trajectories, in order to obtain a relia...
ICEIS
2008
IEEE
13 years 11 months ago
2008
IEEE
Abstract. Network Intrusion Detection Systems (NIDS) aim at preventing network attacks and unauthorised remote use of computers. More accurately, depending on the kind of attack it...
UAI
1996
13 years 6 months ago
1996
This paper presents a Bayesian approach to learning the connectivity structure of a group of neurons from data on configuration frequencies. A major objective of the research is t...
KES
2005
Springer
13 years 10 months ago
2005
Springer
Abstract. In the field of the service robots, object detection and scene understanding are very important. Conventional methods for object detection are performed with the geometri...
AAAI
2006
13 years 6 months ago
2006
Object detection using Haar-like features is formulated as a maximum likelihood estimation. Object features are described by an arbitrary Bayesian Network (BN) of Haar-like featur...