We propose a novel unsupervised learning framework for activity perception. To understand activities in complicated scenes from visual data, we propose a hierarchical Bayesian mod...
Abstract. After introducing the concept of mobile agents and potential application domains, we motivate why mobile agent technology is an interesting concept for large Internet-bas...
Abstract. As low-level architectural support for context-aware computing matures, we are ready to explore more general and powerful means of accessing context data. Information req...
Jeffrey Heer, Alan Newberger, Chris Beckmann, Jaso...
: This paper reports on a four-week study of the usage of myTeam, a prototype that provides availability awareness for distributed work groups through the use of sensor data. Autom...
Jennifer Lai, Sachiko Yoshihama, Thomas Bridgman, ...
Resting state functional magnetic resonance imaging (rs-fMRI) is an important modality in the study of the functional architecture of the human brain. The correlation between the ...
Andre F. van Dixhoorn, Bastijn H. Vissers, Luca Fe...