This package contains the implementation of the Fast Incremental Support Vector Data Descrption (FISVDD) method, an algorithm for online training an SVDD model for outlier detection.
The paper was accepted and presented in the AAAI-19 conference.
Training process:
Final Result:
There is currently a patent pending that covers the FISVDD method.
For non-commercial or academic use the source code in this package can be distributed and/or modified under the terms of the GNU Lesser General Public License (LGPL) version 3 as published by the Free Software Foundation (http://opensource.org/licenses/lgpl-3.0.html).
For other usage, please contact the authors.
If you use this code for your publications, please cite the following paper:
@inproceedings{jiang2019fast,
title={Fast Incremental SVDD Learning Algorithm with the Gaussian Kernel},
author={Jiang, Hansi and Wang, Haoyu and Hu, Wenhao and Kakde, Deovrat and Chaudhuri, Arin},
booktitle={Proceedings of the AAAI Conference on Artificial Intelligence},
volume={33},
pages={3991--3998},
year={2019}
}