Bayesian learning, widely used in many applied data-modeling problems, is often accomplished with approximation schemes because it requires intractable computation of the posterio...
—Today, many chips are designed with predefined discrete cell libraries. In this paper we present a new fast gate sizing algorithm that works natively with discrete cell choices...
Corpus-based concatenative speech synthesis is very popular these days due to its highly natural speech quality. The amount of computation required in the run time, however, is of...
— During the last few years there has been a rapid development in mobile ad hoc networks (MANETs). To make the operations of a MANET more efficient, one approach is to construct...
A wireless sensor network consists of a large number of small, resource-constrained devices and usually operates in hostile environments that are prone to link and node failures. ...