We present an approach for the localization of passive nodes in a communication network using ambient radio or sound signals. In our settings the communication nodes have unknown p...
Thomas Janson, Christian Schindelhauer, Johannes W...
This paper proposes a simple methodology to construct an iterative neural network which mimics a given chaotic time series. The methodology uses the Gamma test to identify a suita...
Antonia J. Jones, Steve Margetts, Peter Durrant, A...
The ability to compute top-k matches to XML queries is gaining importance due to the increasing number of large XML repositories. The efficiency of top-k query evaluation relies o...
We present a fast compression and decompression technique for natural language texts. The novelty is that the exact search can be done on the compressed text directly, using any k...
Edleno Silva de Moura, Gonzalo Navarro, Nivio Zivi...
Bayesian networks are directed acyclic graphs that represent dependencies between variables in a probabilistic model. Many time series models, including the hidden Markov models (H...