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» Anomaly detection by finding feature distribution outliers
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ICMLA
2010
13 years 2 months ago
Semi-Supervised Anomaly Detection for EEG Waveforms Using Deep Belief Nets
Abstract--Clinical electroencephalography (EEG) is routinely used to monitor brain function in critically ill patients, and specific EEG waveforms are recognized by clinicians as s...
Drausin Wulsin, Justin Blanco, Ram Mani, Brian Lit...
TCSV
2008
139views more  TCSV 2008»
13 years 4 months ago
Trajectory-Based Anomalous Event Detection
Abstract--During the last years, the task of automatic event analysis in video sequences has gained an increasing attention among the research community. The application domains ar...
Claudio Piciarelli, Christian Micheloni, Gian Luca...
CLUSTER
2007
IEEE
13 years 11 months ago
Anomaly localization in large-scale clusters
— A critical problem facing by managing large-scale clusters is to identify the location of problems in a system in case of unusual events. As the scale of high performance compu...
Ziming Zheng, Yawei Li, Zhiling Lan
DATAMINE
2006
164views more  DATAMINE 2006»
13 years 5 months ago
Fast Distributed Outlier Detection in Mixed-Attribute Data Sets
Efficiently detecting outliers or anomalies is an important problem in many areas of science, medicine and information technology. Applications range from data cleaning to clinica...
Matthew Eric Otey, Amol Ghoting, Srinivasan Partha...
ASP
2003
Springer
13 years 10 months ago
Outlier Detection Using Default Logic
Default logic is used to describe regular behavior and normal properties. We suggest to exploit the framework of default logic for detecting outliers - individuals who behave in a...
Fabrizio Angiulli, Rachel Ben-Eliyahu-Zohary, Luig...