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» Anomaly Detection Using the Dempster-Shafer Method
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ICMLA
2010
13 years 6 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...
CVPR
2010
IEEE
14 years 5 months ago
Chaotic Invariants of Lagrangian Particle Trajectories for Anomaly Detection in Crowded Scenes
A novel method for crowd flow modeling and anomaly detection is proposed for both coherent and incoherent scenes. The novelty is revealed in three aspects. First, it is a unique ut...
Shandong Wu, Brian E. Moore, and Mubarak Shah
GCA
2008
13 years 10 months ago
Anomaly Detection and its Application in Grid
- Size and complexity of grid computing systems increase rapidly. Failures can have adverse effect on application executing on the system. Thus, failure information should be provi...
Thuy Nguyen, Thanh Do, Dung Nguyen, Hiep Nguyen, T...
CORR
2010
Springer
176views Education» more  CORR 2010»
13 years 9 months ago
Network Traffic Anomalies Detection and Identification with Flow Monitoring
Network management and security is currently one of the most vibrant research areas, among which, research on detecting and identifying anomalies has attracted a lot of interest. R...
Huy Anh Nguyen, Tam Van Nguyen, Dong Il Kim, Deokj...
CORR
2010
Springer
206views Education» more  CORR 2010»
13 years 9 months ago
Detecting Anomalous Process Behaviour using Second Generation Artificial Immune Systems
Abstract. Artificial immune systems (AISs) are problem-solving systems inspired by the biological immune system. They have been successfully applied to a number of problem domains ...
Jamie Twycross, Uwe Aickelin, Amanda M. Whitbrook