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SACMAT
2011
ACM
14 years 6 months 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...
180
Voted
BMCBI
2006
150views more  BMCBI 2006»
15 years 3 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
139
Voted
ICDCS
2011
IEEE
14 years 3 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...
131
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ICCV
2007
IEEE
16 years 5 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 9 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...