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» Anomaly Detection Using an Ensemble of Feature Models
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SIGIR
2006
ACM
14 years 1 months ago
Feature diversity in cluster ensembles for robust document clustering
The performance of document clustering systems depends on employing optimal text representations, which are not only difficult to determine beforehand, but also may vary from one ...
Xavier Sevillano, Germán Cobo, Francesc Al&...
ISCC
2006
IEEE
169views Communications» more  ISCC 2006»
14 years 1 months ago
Hierarchical Anomaly Detection in Distributed Large-Scale Sensor Networks
In this paper, an anomaly detection approach that fuses data gathered from different nodes in a distributed wireless sensor network is proposed and evaluated. The emphasis of this...
Vasilis Chatzigiannakis, Symeon Papavassiliou, Mar...
IPPS
2006
IEEE
14 years 1 months ago
A nonself space approach to network anomaly detection
The paper presents an approach for the anomaly detection problem based on principles of immune systems. Flexibility and efficiency of the anomaly detection system are achieved by ...
Marek Ostaszewski, Franciszek Seredynski, Pascal B...
ICPR
2004
IEEE
14 years 8 months ago
Detecting Abnormal Regions in Colonoscopic Images by Patch-based Classifier Ensemble
In this paper, a new method is proposed to detect abnormal regions in colonoscopic images by patch-based classifier ensemble. Through supervised learning from image patches of var...
Kap Luk Chan, Peng Li, Shankar Muthu Krishnan, Yan...
AUSAI
2006
Springer
13 years 11 months ago
Detecting Anomalies and Intruders
Brittleness is a well-known problem in expert systems where a conclusion can be made, which human common sense would recognise as impossible e.g. that a male is pregnant. We have e...
Akara Prayote, Paul Compton