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TIFS
2008
154views more  TIFS 2008»
15 years 4 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
KDD
2009
ACM
347views Data Mining» more  KDD 2009»
16 years 5 months ago
Network anomaly detection based on Eigen equation compression
This paper addresses the issue of unsupervised network anomaly detection. In recent years, networks have played more and more critical roles. Since their outages cause serious eco...
Shunsuke Hirose, Kenji Yamanishi, Takayuki Nakata,...
183
Voted
KDD
2008
ACM
195views Data Mining» more  KDD 2008»
16 years 5 months ago
Anomaly pattern detection in categorical datasets
We propose a new method for detecting patterns of anomalies in categorical datasets. We assume that anomalies are generated by some underlying process which affects only a particu...
Kaustav Das, Jeff G. Schneider, Daniel B. Neill
ECCV
2010
Springer
15 years 9 months ago
Detecting ground shadows in outdoor consumer photographs
Detecting shadows from images can significantly improve the performance of several vision tasks such as object detection and tracking. Recent approaches have mainly used illuminat...
SAC
2006
ACM
15 years 4 months ago
Combining supervised and unsupervised monitoring for fault detection in distributed computing systems
Fast and accurate fault detection is becoming an essential component of management software for mission critical systems. A good fault detector makes possible to initiate repair a...
Haifeng Chen, Guofei Jiang, Cristian Ungureanu, Ke...