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» Object Labelling from Human Action Recognition
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HUMO
2007
Springer
14 years 1 months ago
Recognizing Activities with Multiple Cues
In this paper, we introduce a first-order probabilistic model that combines multiple cues to classify human activities from video data accurately and robustly. Our system works in...
Rahul Biswas, Sebastian Thrun, Kikuo Fujimura
CHI
2006
ACM
14 years 7 months ago
Exploring user experience in "blended reality": moving interactions out of the screen
Video game players often learn to map their physical actions (e.g., pressing buttons) onto their on-screen avatars' actions (e.g., wielding swords) in order to play. We explo...
David F. Huynh, Yan Xu, Shuo Wang
ISBI
2006
IEEE
14 years 8 months ago
Functional brain mapping with high-temporal resolution: introducing "evolutionary activation cells"
Functional image sequences obtained from image reconstruction techniques applied to Magneto and Electroencephalography (M/EEG) data convey a large amount of information in the spa...
Florence Gombert, Sylvain Baillet
AAAI
2008
13 years 9 months ago
Adaptive Treatment of Epilepsy via Batch-mode Reinforcement Learning
This paper highlights the crucial role that modern machine learning techniques can play in the optimization of treatment strategies for patients with chronic disorders. In particu...
Arthur Guez, Robert D. Vincent, Massimo Avoli, Joe...
ICRA
1998
IEEE
155views Robotics» more  ICRA 1998»
13 years 11 months ago
Reactive Visual Control of Multiple Non-Holonomic Robotic Agents
We have developed a multiagent robotic system including perception, cognition, and action components to function in a dynamicenvironment. The system involves the integration and c...
Kwun Han, Manuela M. Veloso