This paper applies time-varying autoregressive (TVAR) models with stochastically evolving parameters to the problem of speech modeling and enhancement. The stochastic evolution mod...
Machine learning algorithms in various forms are now increasingly being used on a variety of portable devices, starting from cell phones to PDAs. They often form a part of standard...
In this paper, we introduce the problem of Continuous Gossip in which rumors are continually and dynamically injected throughout the network. Each rumor has a deadline, and the go...
Chryssis Georgiou, Seth Gilbert, Dariusz R. Kowals...
Abstract. Most parallel systems on which MPI is used are now hierarchical: some processors are much closer to others in terms of interconnect performance. One of the most common su...
Hao Zhu, David Goodell, William Gropp, Rajeev Thak...
Abstract. This contribution shows how unsupervised Markovian segmentation techniques can be accelerated when implemented on graphics hardware equipped with a Graphics Processing Un...