Activity recognition is a key component for creating intelligent, multi-agent systems. Intrinsically, activity recognition is a temporal classification problem. In this paper, we...
Douglas L. Vail, Manuela M. Veloso, John D. Laffer...
Phase change memory (PCM) is an emerging memory technology for future computing systems. Compared to other non-volatile memory alternatives, PCM is more matured to production, and...
Feature selection is an important task in order to achieve better generalizability in high dimensional learning, and structure learning of Markov random fields (MRFs) can automat...
In this paper, we consider a traffic information sharing system based on Floating Car Data (FCD). FCD is one of the methods used to gather traffic information; it uses vehicles as...
A variational approach to finite connectivity spin-glass-like models is developed and applied to describe the structure of optimal solutions in random satisfiability problems. Our ...