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» The importance of learning in fuzzy systems
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CVPR
2006
IEEE
14 years 11 months ago
Hierarchical Statistical Learning of Generic Parts of Object Structure
With the growing interest in object categorization various methods have emerged that perform well in this challenging task, yet are inherently limited to only a moderate number of...
Sanja Fidler, Gregor Berginc, Ales Leonardis
SSPR
2004
Springer
14 years 2 months ago
Learning People Movement Model from Multiple Cameras for Behaviour Recognition
Abstract. In surveillance systems for monitoring people behaviour, it is imporant to build systems that can adapt to the signatures of the people tasks and movements in the environ...
Nam Thanh Nguyen, Svetha Venkatesh, Geoff A. W. We...
CCGRID
2003
IEEE
14 years 2 months ago
GridFlow: Workflow Management for Grid Computing
Grid computing is becoming a mainstream technology for large-scale distributed resource sharing and system integration. Workflow management is emerging as one of the most importan...
Junwei Cao, Stephen A. Jarvis, Subhash Saini, Grah...
AAAI
1994
13 years 10 months ago
Using Qualitative Physics to Build Articulate Software for Thermodynamics Education
One of the original motivations for research in qualitative physics was the development of intelligent tutoring systems and learning environments for physical domains and complex ...
Kenneth D. Forbus, Peter B. Whalley
ICML
1994
IEEE
14 years 12 days ago
Revision of Production System Rule-Bases
We describe CLIPS-R, a theory revision system for the revision of CLIPS rule-bases. CLIPS-R differs from previous theory revision systems in that it operates on forward chaining p...
Patrick M. Murphy, Michael J. Pazzani