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PERCOM
2007
ACM
14 years 4 months ago
Macro Programming through Bayesian Networks: Distributed Inference and Anomaly Detection
Macro programming a distributed system, such as a sensor network, is the ability to specify application tasks at a global level while relying on compiler-like software to translat...
Marco Mamei, Radhika Nagpal
CNSR
2011
IEEE
257views Communications» more  CNSR 2011»
12 years 8 months ago
On Threshold Selection for Principal Component Based Network Anomaly Detection
—Principal component based anomaly detection has emerged as an important statistical tool for network anomaly detection. It works by projecting summary network information onto a...
Petar Djukic, Biswajit Nandy
ICASSP
2009
IEEE
13 years 8 months ago
Principal component analysis in decomposable Gaussian graphical models
We consider principal component analysis (PCA) in decomposable Gaussian graphical models. We exploit the prior information in these models in order to distribute its computation. ...
Ami Wiesel, Alfred O. Hero III
ISCC
2009
IEEE
106views Communications» more  ISCC 2009»
13 years 11 months ago
Multivariate reduction in wireless sensor networks
In wireless sensor networks, energy consumption is generally associated with the amount of sent data once communication is the activity of the network that consumes more energy. T...
Orlando Silva Junior, André L. L. de Aquino...