This paper considers the problem of computer user support and workplace learning in general. Theoretically our work is influenced by ideas on knowledge management, expertise netwo...
With the rapid growth of the Internet and pervasive computing activities, the migration of back-end legacy systems to network centric environments has become a focal point for res...
We implement a self-organized flocking behavior in a group of mobile robots and analyze its transition from an aligned state to an unaligned state. We briefly describe the robot an...
This paper presents a recognition method for human behavior identification based on motion history image theory. The motion history image has the advantage that it can record the ...
Variational Bayesian inference and (collapsed) Gibbs sampling are the two important classes of inference algorithms for Bayesian networks. Both have their advantages and disadvant...