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CVPR
2008
IEEE
16 years 17 days ago
Pose primitive based human action recognition in videos or still images
This paper presents a method for recognizing human actions based on pose primitives. In learning mode, the parameters representing poses and activities are estimated from videos. ...
Christian Thurau, Václav Hlavác
ATAL
2006
Springer
15 years 9 months ago
Towards formal model of adversarial action in multi-agent systems
Detecting and preventing the adversarial action of an agent with respect to the community of agents can be a serious issue in the design of open multi-agent systems. This task is ...
Michal Pechoucek, Jan Tozicka, Martin Rehák
MFCS
1997
Springer
15 years 9 months ago
Dependency-Based Action Refinement
Abstract. Action refinement in process algebras has been widely studied in the last few years as a means to support top-down design of systems. A specific notion of refinement aris...
Arend Rensink, Heike Wehrheim
FLAIRS
2008
15 years 8 months ago
Learning Continuous Action Models in a Real-Time Strategy Environment
Although several researchers have integrated methods for reinforcement learning (RL) with case-based reasoning (CBR) to model continuous action spaces, existing integrations typic...
Matthew Molineaux, David W. Aha, Philip Moore
AAAI
1996
15 years 7 months ago
Learning to Take Actions
We formalize a model for supervised learning of action strategies in dynamic stochastic domains and show that PAC-learning results on Occam algorithms hold in this model as well. W...
Roni Khardon