loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Yongjian Xue and Pierre Beauseroy

Affiliation: Université de Champagne and Université de Technologie de Troyes, France

Keyword(s): Transfer Learning, Multi-task Learning, Outliers Detection, One Class Classification.

Related Ontology Subjects/Areas/Topics: Classification ; Kernel Methods ; Pattern Recognition ; Theory and Methods

Abstract: In this paper, we use the multi-task learning idea to solve a problem of detection with one class SVM when new sensors are added to the system. The main idea is to adapt the detection system to the upgraded sensor system. To solve that problem, the kernel matrix of multi-task learning model can be divided into two parts, one part is based on the former features and the other part is based on the new features. Typical estimation methods can be used to fill the corresponding new features in the old detection system, and a variable kernel is used for the new features in order to balance the importance of the new features with the number of observed samples. Experimental results show that it can keep the false alarm rate relatively stable and decrease the miss alarm rate rapidly as the number of samples increases in the target task.

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 3.239.119.159

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Xue, Y. and Beauseroy, P. (2018). Transfer Learning to Adapt One Class SVM Detection to Additional Features. In Proceedings of the 7th International Conference on Pattern Recognition Applications and Methods - ICPRAM; ISBN 978-989-758-276-9; ISSN 2184-4313, SciTePress, pages 78-85. DOI: 10.5220/0006553200780085

@conference{icpram18,
author={Yongjian Xue. and Pierre Beauseroy.},
title={Transfer Learning to Adapt One Class SVM Detection to Additional Features},
booktitle={Proceedings of the 7th International Conference on Pattern Recognition Applications and Methods - ICPRAM},
year={2018},
pages={78-85},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006553200780085},
isbn={978-989-758-276-9},
issn={2184-4313},
}

TY - CONF

JO - Proceedings of the 7th International Conference on Pattern Recognition Applications and Methods - ICPRAM
TI - Transfer Learning to Adapt One Class SVM Detection to Additional Features
SN - 978-989-758-276-9
IS - 2184-4313
AU - Xue, Y.
AU - Beauseroy, P.
PY - 2018
SP - 78
EP - 85
DO - 10.5220/0006553200780085
PB - SciTePress