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» Estimation in sensor networks: a graph approach
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INFOCOM
2009
IEEE
14 years 2 months ago
Tracking with Unreliable Node Sequences
—Tracking mobile targets using sensor networks is a challenging task because of the impacts of in-the-filed factors such as environment noise, sensing irregularity and etc. This...
Ziguo Zhong, Ting Zhu, Dan Wang, Tian He
SENSYS
2006
ACM
14 years 1 months ago
Lazy cross-link removal for geographic routing
Geographic techniques promise highly scalable any-toany routing in wireless sensor networks. In one thread of research on geographic routing, researchers have explored robust, dis...
Young-Jin Kim, Ramesh Govindan, Brad Karp, Scott S...
BIRD
2008
Springer
141views Bioinformatics» more  BIRD 2008»
13 years 9 months ago
Nested q-Partial Graphs for Genetic Network Inference from "Small n, Large p" Microarray Data
Abstract. Gaussian graphical models are widely used to tackle the important and challenging problem of inferring genetic regulatory networks from expression data. These models have...
Kevin Kontos, Gianluca Bontempi
SUTC
2010
IEEE
13 years 11 months ago
Adaptive Activity Spotting Based on Event Rates
—To date many activity spotting approaches are static: once the system is trained and deployed it does not change anymore. There are substantial shortcomings of this approach, sp...
Oliver Amft
DCOSS
2008
Springer
13 years 9 months ago
An Information Theoretic Framework for Field Monitoring Using Autonomously Mobile Sensors
We consider a mobile sensor network monitoring a spatio-temporal field. Given limited caches at the sensor nodes, the goal is to develop a distributed cache management algorithm to...
Hany Morcos, George Atia, Azer Bestavros, Ibrahim ...