Abstract. Complex networks like the scale-free model proposed by BarabasiAlbert are observed in many biological systems and the application of this topology to artificial neural ne...
Mauro Annunziato, Ilaria Bertini, Matteo De Felice...
Abstract. This paper describes AutoNetkit, an auto-configuration tool for complex network emulations using Netkit, allowing large-scale networks to be tested on commodity hardware....
Hung X. Nguyen, Matthew Roughan, Simon Knight, Nic...
A genomic computing network is a variant of a neural network for which a genome encodes all aspects, both structural and functional, of the network. The genome is evolved by a gen...
David J. Montana, Eric Van Wyk, Marshall Brinn, Jo...
For improvement of coding efficiency, the H.264 video coding standard uses new coding tools, such as variable block size, quarter-pixel-accuracy motion estimation, multiple refere...
The problem of finding the optimal set of quantized coefficients for a frame-based encoded signal is known to be of very high complexity. This paper presents an efficient method o...
Tom Ryen, Guido M. Schuster, Aggelos K. Katsaggelo...