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...
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...
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...
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...
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...