A Case Study for Outlier Detection Efficiency Based on M estimations of Different Weight Functions and Models

DOI

10.2991/isrme-15.2015.368How to use a DOI?

Keywords

Outlier detection, Robust M-estimation, Tracking Data modeling

Abstract

The effects of the model and weight function on outlier detection are evaluated by the simulated optical and radar observations. The iterative reweighted M-estimation based on different iterative reweighted functions is used for the outlier detection test. Three typical models of the optical and radar tracking data are compared for their effect on the outlier test. The simulated results show that different weight functions have small difference on the outlier detection efficiency and a good modeling selection for the same dataset is an key factor for a best outlier detection procedure.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Xian-qin Tu
AU  - Dong-yun Yi
AU  - Hai-yin Zhou
PY  - 2015/04
DA  - 2015/04
TI  - A Case Study for Outlier Detection Efficiency Based on M estimations of Different Weight Functions and Models
BT  - Proceedings of the 2015 International Conference on Intelligent Systems Research and Mechatronics Engineering
PB  - Atlantis Press
SP  - 1807
EP  - 1810
SN  - 1951-6851
UR  - https://doi.org/10.2991/isrme-15.2015.368
DO  - 10.2991/isrme-15.2015.368
ID  - Tu2015/04
ER  -