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ECAI
2004
Springer
15 years 3 months ago
Avatars That Learn How to Behave
It is possible to model avatars that learn to simulate object manipulations and other complex actions. A number of applications may benefit from this technique including safety, e...
Adam Szarowicz, Paolo Remagnino
ECSQARU
2007
Springer
15 years 4 months ago
Arguing over Actions That Involve Multiple Criteria: A Critical Review
Abstract. There has recently been many proposals to adopt an argumentative approach to decision-making. As the underlying assumptions made in these different approaches are not al...
Wassila Ouerdane, Nicolas Maudet, Alexis Tsouki&ag...
ICANN
2005
Springer
15 years 3 months ago
Reinforcement Learning in MirrorBot
For this special session of EU projects in the area of NeuroIT, we will review the progress of the MirrorBot project with special emphasis on its relation to reinforcement learning...
Cornelius Weber, David Muse, Mark Elshaw, Stefan W...
ICCV
2009
IEEE
16 years 2 months ago
Recognizing Actions by Shape-Motion Prototype Trees
A prototype-based approach is introduced for action recognition. The approach represents an action as a se- quence of prototypes for efficient and flexible action match- ing in ...
Zhe Lin, Zhuolin Jiang, Larry S. Davis
CVPR
2008
IEEE
15 years 12 months ago
Action recognition using exemplar-based embedding
In this paper, we address the problem of representing human actions using visual cues for the purpose of learning and recognition. Traditional approaches model actions as space-ti...
Daniel Weinland, Edmond Boyer