We describe a tracker that can track moving people in long sequences without manual initialization. Moving people are modeled with the assumption that, while configuration can var...
The Web is constantly changing, but most tools used to access Web content deal only with what can be captured at a single instance in time. As a result, Web users may not have a g...
This paper presents a new model for mobile processes in occam-π. A process, embedded anywhere in a dynamically evolving network, may suspend itself mid-execution, be safely discon...
Distributed sensor networks are highly prone to accidental errors and malicious activities, owing to their limited resources and tight interaction with the environment. Yet only a...
Claudio Basile, Meeta Gupta, Zbigniew Kalbarczyk, ...
Spiking neural networks are computationally more powerful than conventional artificial neural networks. Although this fact should make them especially desirable for use in evoluti...
Rich Drewes, James B. Maciokas, Sushil J. Louis, P...