Active applications can add value to communication. Yet it involves sophisticated domain knowledge and complex development process. In this paper we discuss a framework for the co...
We investigate a topic at the interface of machine learning and cognitive science. Human active learning, where learners can actively query the world for information, is contraste...
Rui M. Castro, Charles Kalish, Robert Nowak, Ruich...
Hidden Markov models have become the preferred technique for visual recognition of human gestures. However, the recognition rate depends on the set of visual features used, and al...
Energy-efficient real-time task scheduling has been actively explored in the past decade. Different from the past work, this paper considers schedulability conditions for stochas...
Since current computer infrastructures are increasingly vulnerable to malicious activities, intrusion detection is necessary but unfortunately not sufficient. We need to design ef...