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» Knowledge discovery from sensor data (SensorKDD)
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IPPS
2007
IEEE
15 years 3 months ago
A Multi-Level Parallel Implementation of a Program for Finding Frequent Patterns in a Large Sparse Graph
Graphs capture the essential elements of many problems broadly defined as searching or categorizing. With the rapid increase of data volumes from sensors, many application discipl...
Steve Reinhardt, George Karypis
IWNAS
2006
IEEE
15 years 3 months ago
Hint-based Routing in WSNs using Scope Decay Bloom Filters
— In existing query-based routing protocols in wireless sensor networks (WSNs), a node either keeps precise route information to desired events, such as in event flooding, or do...
Xiuqi Li, Jie Wu, Jun (Jim) Xu
CDC
2009
IEEE
156views Control Systems» more  CDC 2009»
15 years 24 days ago
An optimization approach to adaptive Kalman filtering
— In this paper, an optimization-based adaptive Kalman filtering method is proposed. The method produces an estimate of the process noise covariance matrix Q by solving an optim...
Maja Karasalo, Xiaoming Hu
IJRR
2010
173views more  IJRR 2010»
14 years 4 months ago
Multi-modal Semantic Place Classification
The ability to represent knowledge about space and its position therein is crucial for a mobile robot. To this end, topological and semantic descriptions are gaining popularity fo...
Andrzej Pronobis, Óscar Martínez Moz...
110
Voted
BMCBI
2002
214views more  BMCBI 2002»
14 years 9 months ago
Automated modelling of signal transduction networks
Background: Intracellular signal transduction is achieved by networks of proteins and small molecules that transmit information from the cell surface to the nucleus, where they ul...
Martin Steffen, Allegra Petti, John Aach, Patrik D...