Mar 30, 2015 · This paper presents an anomaly detection algorithm for mitigating the limitations of the conventional SVDD by finding the minimum volume ...
An anomaly detection algorithm for mitigating the limitations of the conventional SVDD by finding the minimum volume enclosing ellipsoid in the feature ...
This paper presents an anomaly detection algorithm for mitigating the limitations of the conventional SVDD by finding the minimum volume enclosing ellipsoid in ...
The Support Vector Data Description (SVDD) has achieved great success in anomaly detection, directly finding the optimal ball with a minimal radius and ...
Abstract: The Support Vector Data Description (SVDD) has achieved great success in anomaly detection, directly finding the optimal ball with a minimal ...
This paper presents an anomaly detection algorithm for mitigating the limitations of the conventional SVDD by finding the minimum volume enclosing ellipsoid in ...
(PDF) Anomaly Intrusion Detection Based on Hyper-Ellipsoid
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Anomaly Intrusion Detection Based on Hyper-Ellipsoid in the Kernel Feature Space published in KSII Transactions on Internet and Information Systems.
Anomaly Intrusion Detection Based on Hyper-ellipsoid in the Kernel ...
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The Support Vector Data Description (SVDD) has achieved great success in anomaly detection, directly finding the optimal ball with a minimal radius and ...
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Hansung Lee , Daesung Moon, Ikkyun Kim, Hoseok Jung, Daihee Park: Anomaly Intrusion Detection Based on Hyper-ellipsoid in the Kernel Feature Space.
Anomaly Intrusion Detection Based on Hyper-ellipsoid in the Kernel Feature Space · New Intrusion Detection System Based on Support Vector Domain Description with ...