This paper proposes LTNC, a new recoding algorithm to build low complexity network codes. At the core of LTNC is a decentralized version of LT codes that allows the use of fast be...
The study of complex networks led to the belief that the connectivity of network nodes generally follows a Power-law distribution. In this work, we show that modeling large-scale ...
Alessandra Sala, Haitao Zheng, Ben Y. Zhao, Sabrin...
Markov Random Fields (MRFs) are an important class of probabilistic models which are used for density estimation, classification, denoising, and for constructing Deep Belief Netwo...
We consider a class of networks where n agents need to send their traffic from a given source to a given destination over m identical, non-intersecting, and parallel links. For suc...
Gamma was originally proposed in 1986 as a formalism for the de nition of programs without arti cial sequentiality. The basic idea underlying the formalism is to describe computati...