An adaptive-weight regularization method for multi-classifier fusion decision

Zhu Xufeng; Ma Biao; Guo Guanjun

doi:10.1109/ICMC.2014.7231575

An adaptive-weight regularization method for multi-classifier fusion decision

Zhu Xufeng, Ma Biao, Guo Guanjun

Beijing Aerospace Automatic Control Institute

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

3 Citations (Scopus)

Abstract

The difficulties of aircraft type recognition methods are introduced and the necessity of multi-classifier fusion decision method is discussed. The some kinds of invariants: Hu moments, Affine moments, Zernike moments, Wavelet moments, are used for constructing four SVM classifiers. Based on the above four classifiers, an adaptive-weight regularization method is proposed for improving aircraft type classification performance. Experiments are shown that, the recognition rate by the proposed method in this paper is better than any classifier of the above four classifiers, the fixed-weight multi-classifier fusion method and the majority multi-classifier fusion method.

Original language	English
Title of host publication	Proceedings - 2014 International Conference on Mechatronics and Control, ICMC 2014
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	343-346
Number of pages	4
ISBN (Electronic)	9781479925384
DOIs	https://doi.org/10.1109/ICMC.2014.7231575
Publication status	Published - 31 Aug 2015
Externally published	Yes
Event	International Conference on Mechatronics and Control, ICMC 2014 - Jinzhou, China Duration: 3 Jul 2014 → 5 Jul 2014

Publication series

Name	Proceedings - 2014 International Conference on Mechatronics and Control, ICMC 2014

Conference

Conference	International Conference on Mechatronics and Control, ICMC 2014
Country/Territory	China
City	Jinzhou
Period	3/07/14 → 5/07/14

Keywords

adaptive-weight
aircraft type recognition
decision-level fusion
multi-classifier

Access to Document

10.1109/ICMC.2014.7231575

Cite this

Xufeng, Z., Biao, M., & Guanjun, G. (2015). An adaptive-weight regularization method for multi-classifier fusion decision. In Proceedings - 2014 International Conference on Mechatronics and Control, ICMC 2014 (pp. 343-346). Article 7231575 (Proceedings - 2014 International Conference on Mechatronics and Control, ICMC 2014). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICMC.2014.7231575

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title = "An adaptive-weight regularization method for multi-classifier fusion decision",

abstract = "The difficulties of aircraft type recognition methods are introduced and the necessity of multi-classifier fusion decision method is discussed. The some kinds of invariants: Hu moments, Affine moments, Zernike moments, Wavelet moments, are used for constructing four SVM classifiers. Based on the above four classifiers, an adaptive-weight regularization method is proposed for improving aircraft type classification performance. Experiments are shown that, the recognition rate by the proposed method in this paper is better than any classifier of the above four classifiers, the fixed-weight multi-classifier fusion method and the majority multi-classifier fusion method.",

keywords = "adaptive-weight, aircraft type recognition, decision-level fusion, multi-classifier",

author = "Zhu Xufeng and Ma Biao and Guo Guanjun",

note = "Publisher Copyright: {\textcopyright} 2014 IEEE.; International Conference on Mechatronics and Control, ICMC 2014 ; Conference date: 03-07-2014 Through 05-07-2014",

year = "2015",

month = aug,

day = "31",

doi = "10.1109/ICMC.2014.7231575",

language = "English",

series = "Proceedings - 2014 International Conference on Mechatronics and Control, ICMC 2014",

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Xufeng, Z, Biao, M & Guanjun, G 2015, An adaptive-weight regularization method for multi-classifier fusion decision. in Proceedings - 2014 International Conference on Mechatronics and Control, ICMC 2014., 7231575, Proceedings - 2014 International Conference on Mechatronics and Control, ICMC 2014, Institute of Electrical and Electronics Engineers Inc., pp. 343-346, International Conference on Mechatronics and Control, ICMC 2014, Jinzhou, China, 3/07/14. https://doi.org/10.1109/ICMC.2014.7231575

An adaptive-weight regularization method for multi-classifier fusion decision. / Xufeng, Zhu; Biao, Ma; Guanjun, Guo.
Proceedings - 2014 International Conference on Mechatronics and Control, ICMC 2014. Institute of Electrical and Electronics Engineers Inc., 2015. p. 343-346 7231575 (Proceedings - 2014 International Conference on Mechatronics and Control, ICMC 2014).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - An adaptive-weight regularization method for multi-classifier fusion decision

AU - Xufeng, Zhu

AU - Biao, Ma

AU - Guanjun, Guo

PY - 2015/8/31

Y1 - 2015/8/31

N2 - The difficulties of aircraft type recognition methods are introduced and the necessity of multi-classifier fusion decision method is discussed. The some kinds of invariants: Hu moments, Affine moments, Zernike moments, Wavelet moments, are used for constructing four SVM classifiers. Based on the above four classifiers, an adaptive-weight regularization method is proposed for improving aircraft type classification performance. Experiments are shown that, the recognition rate by the proposed method in this paper is better than any classifier of the above four classifiers, the fixed-weight multi-classifier fusion method and the majority multi-classifier fusion method.

AB - The difficulties of aircraft type recognition methods are introduced and the necessity of multi-classifier fusion decision method is discussed. The some kinds of invariants: Hu moments, Affine moments, Zernike moments, Wavelet moments, are used for constructing four SVM classifiers. Based on the above four classifiers, an adaptive-weight regularization method is proposed for improving aircraft type classification performance. Experiments are shown that, the recognition rate by the proposed method in this paper is better than any classifier of the above four classifiers, the fixed-weight multi-classifier fusion method and the majority multi-classifier fusion method.

KW - adaptive-weight

KW - aircraft type recognition

KW - decision-level fusion

KW - multi-classifier

UR - https://www.scopus.com/pages/publications/84953725385

U2 - 10.1109/ICMC.2014.7231575

DO - 10.1109/ICMC.2014.7231575

M3 - Conference contribution

AN - SCOPUS:84953725385

T3 - Proceedings - 2014 International Conference on Mechatronics and Control, ICMC 2014

SP - 343

EP - 346

BT - Proceedings - 2014 International Conference on Mechatronics and Control, ICMC 2014

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - International Conference on Mechatronics and Control, ICMC 2014

Y2 - 3 July 2014 through 5 July 2014

ER -

Xufeng Z, Biao M, Guanjun G. An adaptive-weight regularization method for multi-classifier fusion decision. In Proceedings - 2014 International Conference on Mechatronics and Control, ICMC 2014. Institute of Electrical and Electronics Engineers Inc. 2015. p. 343-346. 7231575. (Proceedings - 2014 International Conference on Mechatronics and Control, ICMC 2014). doi: 10.1109/ICMC.2014.7231575

An adaptive-weight regularization method for multi-classifier fusion decision

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