Abstract. Hierarchical and recursive state machines are suitable abstract models for many software systems. In this paper we extend a model recently introduced in literature, by al...
Salvatore La Torre, Margherita Napoli, Mimmo Paren...
In this paper, we present a systematic synthesis methodology for fully integrated wideband low noise amplifiers that simultaneously optimizes impedance matching, noise figure, and ...
Three-dimensional electron-microscopic image stacks with almost isotropic resolution allow, for the first time, to determine the complete connection matrix of parts of the brain. I...
Minimum spanning tree algorithms have been proposed for the lossy compression of image sets. In these algorithms, a complete graph is constructed from the entire image set and an ...
Anthony Schmieder, Howard Cheng, Barry Gergel, Xia...
We develop new techniques for time series classification based on hierarchical Bayesian generative models (called mixed-effect models) and the Fisher kernel derived from them. A k...