Ellipsoidal Subspace Support Vector Data Description

Ellipsoidal Subspace Support Vector Data Description

In this paper, we propose a novel method for transforming data into a low-dimensional space optimized for one-class classification. The proposed method iteratively transforms data into a new subspace optimized for ellipsoidal encapsulation of target class data. We provide both linear and non-linear...

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Bibliographic Details
Main Authors: Fahad Sohrab, Jenni Raitoharju, Alexandros Iosifidis, Moncef Gabbouj
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Anomaly detection
ellipsoidal data description
machine learning
one-class classification
subspace learning
Online Access:https://ieeexplore.ieee.org/document/9133428/

Internet

https://ieeexplore.ieee.org/document/9133428/

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