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» Learning a Restricted Bayesian Network for Object Detection
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FLAIRS
2001
13 years 9 months ago
Structural Learning in Object Oriented Domains
When constructing a Bayesian network, it can be advantageous to employ structural learning algorithms to combine knowledge captured in databases with prior information provided by...
Olav Bangsø, Helge Langseth, Thomas D. Niel...
CVIU
2006
256views more  CVIU 2006»
13 years 7 months ago
Human body pose detection using Bayesian spatio-temporal templates
We present a template-based approach to detecting human silhouettes in a specific walking pose. Our templates consist of short sequences of 2D silhouettes obtained from motion cap...
Miodrag Dimitrijevic, Vincent Lepetit, Pascal Fua
CIRA
2007
IEEE
179views Robotics» more  CIRA 2007»
14 years 1 months ago
Learning Tactic-Based Motion Models of a Moving Object with Particle Filtering
— Learning motion models of a moving object is a challenge for autonomous robots. We address the particular instance of parameter learning when tracking object motions in a switc...
Yang Gu, Manuela M. Veloso
ICCV
2007
IEEE
14 years 9 months ago
A Scalable Approach to Activity Recognition based on Object Use
We propose an approach to activity recognition based on detecting and analyzing the sequence of objects that are being manipulated by the user. In domains such as cooking, where m...
Jianxin Wu, Adebola Osuntogun, Tanzeem Choudhury, ...
EAAI
2010
144views more  EAAI 2010»
13 years 2 months ago
Fault diagnosis of industrial systems by conditional Gaussian network including a distance rejection criterion
The purpose of this article is to present a method for industrial process diagnosis with Bayesian network, and more particularly with Conditional Gaussian Network (CGN). The inter...
Sylvain Verron, Teodor Tiplica, Abdessamad Kobi