Particle filtering (PF) for dynamic Bayesian networks (DBNs) with discrete-state spaces includes a resampling step which concentrates samples according to their relative weight in ...
The ability to update the structure of a Bayesian network when new data becomes available is crucial for building adaptive systems. Recent work by Sang, Beame, and Kautz (AAAI 200...
Over the past few years we have witnessed steady progress toward convergence in communications. We believe we are now witnessing nce beyond just media transport. Further, abstract ...
In this paper, we propose a mechanism that supports the high quality streaming and adaptation of stored, constant-quality video across best-effort networks. The difficulty in the d...
: Recently, researchers have discovered that many of social, natural and biological networks are characterized by scale-free powerlaw connectivity distribution and a few densely po...