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SACMAT
2011
ACM
14 years 22 days ago
Modeling data flow in socio-information networks: a risk estimation approach
Information leakage via the networks formed by subjects (e.g., Facebook, Twitter) and objects (e.g., blogosphere) − some of whom may be controlled by malicious insiders − ofte...
Ting Wang, Mudhakar Srivatsa, Dakshi Agrawal, Ling...
BMCBI
2006
150views more  BMCBI 2006»
14 years 10 months ago
Instance-based concept learning from multiclass DNA microarray data
Background: Various statistical and machine learning methods have been successfully applied to the classification of DNA microarray data. Simple instance-based classifiers such as...
Daniel P. Berrar, Ian Bradbury, Werner Dubitzky
ICDCS
2011
IEEE
13 years 9 months ago
Accuracy-Aware Interference Modeling and Measurement in Wireless Sensor Networks
Abstract—Wireless Sensor Networks (WSNs) are increasingly available for mission-critical applications such as emergency management and health care. To meet the stringent requirem...
Jun Huang, Shucheng Liu, Guoliang Xing, Hongwei Zh...
ICCV
2007
IEEE
15 years 12 months ago
Learning Higher-order Transition Models in Medium-scale Camera Networks
We present a Bayesian framework for learning higherorder transition models in video surveillance networks. Such higher-order models describe object movement between cameras in the...
Ryan Farrell, David S. Doermann, Larry S. Davis
GLOBECOM
2006
IEEE
15 years 4 months ago
Modelling the Impact of User Mobility on the Throughput in Networks of Wireless 802.11 LANs
— The wireless LAN technology 802.11, also called Wi-Fi, offers high speed wireless Internet access for local area environments. WLANs provide much higher data rates than the mob...
Sandjai Bhulai, Robert D. van der Mei, Taoying Yua...