We present the results of using Hidden Markov Models (HMMs) for automatic segmentation and recognition of user motions. Previous work on recognition of user intent with man/machin...
C. Sean Hundtofte, Gregory D. Hager, Allison M. Ok...
Applications running on a mobile and wireless devices must be able to adapt gracefully to limited and fluctuating network resources. The variety of applications, platforms upon w...
Yuri Dotsenko, Eyal de Lara, Dan S. Wallach, Willy...
Abstract. We investigate the computational capabilities of probabilistic cellular automata by means of the density classification problem. We find that a specific probabilistic ...
Humans tend to group together related properties in order to understand complex phenomena. When modeling large problems with limited representational resources, it is important to...
Abstract. Many design flaws and incorrect analyses of cryptographic protoAppeared in the Proceedings of the First International Workshop on Mathematical Methods, Models and Archit...