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NC
1998
102views Neural Networks» more  NC 1998»
14 years 11 months ago
Outliers and Bayesian Inference
In this paper we report about an investigation in which we studied the properties of Bayes' inferred neural network classifiers in the context of outlier detection. The proble...
Peter Sykacek
KDD
2009
ACM
167views Data Mining» more  KDD 2009»
15 years 10 months ago
SNARE: a link analytic system for graph labeling and risk detection
Classifying nodes in networks is a task with a wide range of applications. It can be particularly useful in anomaly and fraud detection. Many resources are invested in the task of...
Mary McGlohon, Stephen Bay, Markus G. Anderle, Dav...
IROS
2009
IEEE
114views Robotics» more  IROS 2009»
15 years 4 months ago
A Distributed boundary detection algorithm for multi-robot systems
— We describe a distributed boundary detection algorithm suitable for use on multi-robot systems with dynamic network topologies. We assume that each robot has access to its loca...
James McLurkin, Erik D. Demaine
TIFS
2008
154views more  TIFS 2008»
14 years 9 months ago
Data Fusion and Cost Minimization for Intrusion Detection
Abstract--Statistical pattern recognition techniques have recently been shown to provide a finer balance between misdetections and false alarms than the more conventional intrusion...
Devi Parikh, Tsuhan Chen
LCN
2006
IEEE
15 years 3 months ago
Flexible Flow Aggregation for Adaptive Network Monitoring
Network monitoring is a major building block for many domains in communication networks. Besides typical accounting mechanisms and the emerging area of charging in next generation...
Falko Dressler, Gerhard Münz