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» High-level approach to modeling of observed system behavior
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ICCV
2009
IEEE
16 years 4 months ago
Time Series Prediction by Chaotic Modeling of Nonlinear Dynamical Systems
We use concepts from chaos theory in order to model nonlinear dynamical systems that exhibit deterministic behavior. Observed time series from such a system can be embedded into...
Arslan Basharat, Mubarak Shah
IBPRIA
2007
Springer
15 years 1 months ago
Automatic Learning of Conceptual Knowledge in Image Sequences for Human Behavior Interpretation
This work describes an approach for the interpretation and explanation of human behavior in image sequences, within the context of a Cognitive Vision System. The information source...
Pau Baiget, Carles Fernández Tena, F. Xavie...
GROUP
2009
ACM
14 years 9 months ago
Social performances: understanding the motivations for online participatory behavior
"Open contribution systems" (OCS) are online applications that encourage users to contribute and share content in a "public" and open manner. While these syste...
Jude Yew
ICMLA
2008
15 years 1 months ago
A Predictive Model for Imitation Learning in Partially Observable Environments
Learning by imitation has shown to be a powerful paradigm for automated learning in autonomous robots. This paper presents a general framework of learning by imitation for stochas...
Abdeslam Boularias
ROBOCUP
2004
Springer
106views Robotics» more  ROBOCUP 2004»
15 years 5 months ago
Predicting Opponent Actions by Observation
In competitive domains, the knowledge about the opponent can give players a clear advantage. This idea lead us in the past to propose an approach to acquire models of opponents, ba...
Agapito Ledezma, Ricardo Aler, Araceli Sanch&iacut...