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DSN
2006
IEEE
15 years 8 months ago
An Approach for Detecting and Distinguishing Errors versus Attacks in Sensor Networks
Distributed sensor networks are highly prone to accidental errors and malicious activities, owing to their limited resources and tight interaction with the environment. Yet only a...
Claudio Basile, Meeta Gupta, Zbigniew Kalbarczyk, ...
NN
2006
Springer
163views Neural Networks» more  NN 2006»
15 years 4 months ago
Machine learning approaches for estimation of prediction interval for the model output
A novel method for estimating prediction uncertainty using machine learning techniques is presented. Uncertainty is expressed in the form of the two quantiles (constituting the pr...
Durga L. Shrestha, Dimitri P. Solomatine
JMM2
2007
122views more  JMM2 2007»
15 years 4 months ago
Hierarchical Model-Based Activity Recognition With Automatic Low-Level State Discovery
Abstract— Activity recognition in video streams is increasingly important for both the computer vision and artificial intelligence communities. Activity recognition has many app...
Justin Muncaster, Yunqian Ma
CVPR
2008
IEEE
16 years 6 months ago
Unsupervised modeling of object categories using link analysis techniques
We propose an approach for learning visual models of object categories in an unsupervised manner in which we first build a large-scale complex network which captures the interacti...
Gunhee Kim, Christos Faloutsos, Martial Hebert
SIGMETRICS
2004
ACM
15 years 10 months ago
Insensitive load balancing
A large variety of communication systems, including telephone and data networks, can be represented by so-called Whittle networks. The stationary distribution of these networks is...
Thomas Bonald, Matthieu Jonckheere, Alexandre Prou...