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» Fast performance prediction for periodic task systems
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KDD
2009
ACM
172views Data Mining» more  KDD 2009»
15 years 10 months ago
Learning dynamic temporal graphs for oil-production equipment monitoring system
Learning temporal graph structures from time series data reveals important dependency relationships between current observations and histories. Most previous work focuses on learn...
Yan Liu, Jayant R. Kalagnanam, Oivind Johnsen
ICARIS
2003
Springer
15 years 11 months ago
An Investigation of the Negative Selection Algorithm for Fault Detection in Refrigeration Systems
Supermarkets lose millions of pounds every year through lost trading and stock wastage caused by the failure of refrigerated cabinets. Therefore, a huge commercial market exists fo...
Dan W. Taylor, David Corne
ECCV
2008
Springer
16 years 8 months ago
A Dynamic Conditional Random Field Model for Joint Labeling of Object and Scene Classes
Object detection and pixel-wise scene labeling have both been active research areas in recent years and impressive results have been reported for both tasks separately. The integra...
Christian Wojek, Bernt Schiele
218
Voted
MOBISYS
2011
ACM
14 years 9 months ago
Exploiting FM radio data system for adaptive clock calibration in sensor networks
Clock synchronization is critical for Wireless Sensor Networks (WSNs) due to the need of inter-node coordination and collaborative information processing. Although many message pa...
Liqun Li, Guoliang Xing, Limin Sun, Wei Huangfu, R...
157
Voted
DC
2010
15 years 6 months ago
Refined quorum systems
It is considered good distributed computing practice to devise object implementations that tolerate contention, periods of asynchrony and a large number of failures, but perform f...
Rachid Guerraoui, Marko Vukolic