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...
We propose a new algorithm for the real-time control of an interframe video coder operating with a variable rate channel such as wireless channels or the Internet. Using technique...
This paperconsidersthe problem of representingcomplex systems that evolve stochastically over time. Dynamic Bayesian networks provide a compact representation for stochastic proce...
The idea that context is important when predicting customer behavior has been maintained by scholars in marketing and data mining. However, no systematic study measuring how much t...
Cosimo Palmisano, Alexander Tuzhilin, Michele Gorg...
The virtual synchrony model for group communication has proven to be a powerful paradigm for building distributed applications. In applications that use a large number of groups, ...