We present an analogy between the operation of a Wireless Sensor Network and the sampling and reconstruction of a signal. We measure the impact of three factors on the quality of ...
In this paper we propose a Gaussian-kernel-based online kernel density estimation which can be used for applications of online probability density estimation and online learning. ...
The performance of punctured LDPC codes under maximum-likelihood (ML) decoding is studied in this paper via deriving and analyzing their average weight distributions (AWDs) and th...
We show how Recursive Markov Chains (RMCs) and their restrictions can define probabilistic distributions over XML documents, and study tractability of querying over such models. ...
Michael Benedikt, Evgeny Kharlamov, Dan Olteanu, P...
Abstract — We apply finite state-dependent queueing networks to model mobility in mobile communication systems. Although they have been successfully used in the past to model ve...
Frederico R. B. Cruz, P. C. Oliveira, Luiz Duczmal