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» Visually mining and monitoring massive time series
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AVI
2010
13 years 7 months ago
Wakame: sense making of multi-dimensional spatial-temporal data
As our ability to measure the world around us improves, we are quickly generating massive quantities of high-dimensional, spatial-temporal data. In this paper, we concern ourselve...
Clifton Forlines, Kent Wittenburg
JPDC
2008
217views more  JPDC 2008»
13 years 5 months ago
Parallel techniques for information extraction from hyperspectral imagery using heterogeneous networks of workstations
Recent advances in space and computer technologies are revolutionizing the way remotely sensed data is collected, managed and interpreted. In particular, NASA is continuously gath...
Antonio J. Plaza
KDD
2008
ACM
186views Data Mining» more  KDD 2008»
14 years 5 months ago
Cut-and-stitch: efficient parallel learning of linear dynamical systems on smps
Multi-core processors with ever increasing number of cores per chip are becoming prevalent in modern parallel computing. Our goal is to make use of the multi-core as well as multi...
Lei Li, Wenjie Fu, Fan Guo, Todd C. Mowry, Christo...
IPSN
2010
Springer
14 years 10 days ago
Diagnostic powertracing for sensor node failure analysis
Troubleshooting unresponsive sensor nodes is a significant challenge in remote sensor network deployments. This paper introduces the tele-diagnostic powertracer, an in-situ troub...
Mohammad Maifi Hasan Khan, Hieu Khac Le, Michael L...