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PIMRC
2008
IEEE
14 years 2 months ago
Dynamic data aggregation and transport in wireless sensor networks
—In wireless sensor networks, in-network aggregation is the process of compressing locally the data gathered by the sensor nodes, so that only the compressed data travel across s...
Mario O. Diaz, Kin K. Leung
GECCO
2007
Springer
162views Optimization» more  GECCO 2007»
14 years 1 months ago
Using pair approximations to predict takeover dynamics in spatially structured populations
The topological properties of a network directly impact the flow of information through a system. For example, in natural populations, the network of inter-individual contacts aff...
Joshua L. Payne, Margaret J. Eppstein
ICPR
2002
IEEE
14 years 8 months ago
Boosting and Structure Learning in Dynamic Bayesian Networks for Audio-Visual Speaker Detection
Bayesian networks are an attractive modeling tool for human sensing, as they combine an intuitive graphical representation with ef?cient algorithms for inference and learning. Ear...
Tanzeem Choudhury, James M. Rehg, Vladimir Pavlovi...
NIPS
2008
13 years 9 months ago
Non-stationary dynamic Bayesian networks
Abstract: Structure learning of dynamic Bayesian networks provide a principled mechanism for identifying conditional dependencies in time-series data. This learning procedure assum...
Joshua W. Robinson, Alexander J. Hartemink
ALGORITHMICA
1998
111views more  ALGORITHMICA 1998»
13 years 7 months ago
A Note on Point Location in Delaunay Triangulations of Random Points
This short note considers the problem of point location in a Delaunay triangulation of n random points, using no additional preprocessing or storage other than a standard data stru...
Luc Devroye, Ernst P. Mücke, Binhai Zhu