In a distributed sensor network, large number of sensors deployed which communicate among themselves to selforganize a wireless ad hoc network. We propose an energyefficient level...
Malik Ayed Tubaishat, Jian Yin, Biswajit Panja, Sa...
The use of compression algorithms in machine learning tasks such as clustering and classification has appeared in a variety of fields, sometimes with the promise of reducing probl...
In this paper we introduce a novel Riemannian framework for shape analysis of parameterized surfaces. We derive a distance function between any two surfaces that is invariant to r...
Sebastian Kurtek, Eric Klassen, Anuj Srivastava, Z...
We propose a novel method, based on concepts from expander graphs, to sample communities in networks. We show that our sampling method, unlike previous techniques, produces subgra...
Abstract— In parallel query-processing environments, accurate, time-oriented progress indicators could provide much utility given that inter- and intra-query execution times can ...