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TIP
2010
145views more  TIP 2010»
13 years 2 months ago
Joint Manifolds for Data Fusion
The emergence of low-cost sensing architectures for diverse modalities has made it possible to deploy sensor networks that capture a single event from a large number of vantage po...
Mark A. Davenport, Chinmay Hegde, Marco F. Duarte,...
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
BMCBI
2007
105views more  BMCBI 2007»
13 years 7 months ago
Generating confidence intervals on biological networks
Background: In the analysis of networks we frequently require the statistical significance of some network statistic, such as measures of similarity for the properties of interact...
Thomas Thorne, Michael P. H. Stumpf
TPDS
2002
173views more  TPDS 2002»
13 years 7 months ago
Data Gathering Algorithms in Sensor Networks Using Energy Metrics
Sensor webs consisting of nodes with limited battery power and wireless communications are deployed to collect useful information from the field. Gathering sensed information in an...
Stephanie Lindsey, Cauligi S. Raghavendra, Krishna...
MOBIHOC
2006
ACM
14 years 7 months ago
Fundamental scaling laws for energy-efficient storage and querying in wireless sensor networks
We use a constrained optimization framework to derive fundamental scaling laws for both unstructured sensor networks (which use blind sequential search for querying) and structure...
Joon Ahn, Bhaskar Krishnamachari