Using hybrid hadamard error correcting output codes for multi-class problem based on support vector machines

Huang Shilei; Xie Xiang; Kuang Jingming

doi:10.1109/ICCIAS.2006.294081

Using hybrid hadamard error correcting output codes for multi-class problem based on support vector machines

Huang Shilei^*, Xie Xiang, Kuang Jingming

^*Corresponding author for this work

School of Information and Electronics

Beijing Institute of Technology

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

1 Citation (Scopus)

Abstract

The Error-Correcting Output Codes (ECOC) method reduces the multi-class learning problem into a series of binary classifiers. In this paper, we propose a modified Hadamard-type ECOC method. This method uses both N'th order and N/2'th-order Hadamard matrix to construct error correcting output codes, which is called Hybrid Hadamard ECOC Experiments based on dichotomizers of Support Vector Machines (SVM) have been carried out to evaluate the performance of the proposed method. When compared to normal Hadamard ECOC, computation of the method is reduced greatly while the accuracy of classification only drops slightly.

Original language	English
Title of host publication	2006 International Conference on Computational Intelligence and Security, ICCIAS 2006
Publisher	IEEE Computer Society
Pages	7-10
Number of pages	4
ISBN (Print)	1424406056, 9781424406050
DOIs	https://doi.org/10.1109/ICCIAS.2006.294081
Publication status	Published - 2006
Event	2006 International Conference on Computational Intelligence and Security, ICCIAS 2006 - Guangzhou, China Duration: 3 Oct 2006 → 6 Oct 2006

Publication series

Name	2006 International Conference on Computational Intelligence and Security, ICCIAS 2006
Volume	1

Conference

Conference	2006 International Conference on Computational Intelligence and Security, ICCIAS 2006
Country/Territory	China
City	Guangzhou
Period	3/10/06 → 6/10/06

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10.1109/ICCIAS.2006.294081

Cite this

Shilei, H., Xiang, X., & Jingming, K. (2006). Using hybrid hadamard error correcting output codes for multi-class problem based on support vector machines. In 2006 International Conference on Computational Intelligence and Security, ICCIAS 2006 (pp. 7-10). Article 4072034 (2006 International Conference on Computational Intelligence and Security, ICCIAS 2006; Vol. 1). IEEE Computer Society. https://doi.org/10.1109/ICCIAS.2006.294081

Shilei, Huang ; Xiang, Xie ; Jingming, Kuang. / Using hybrid hadamard error correcting output codes for multi-class problem based on support vector machines. 2006 International Conference on Computational Intelligence and Security, ICCIAS 2006. IEEE Computer Society, 2006. pp. 7-10 (2006 International Conference on Computational Intelligence and Security, ICCIAS 2006).

@inproceedings{28d94e3ed75241f6838fd0f39075336a,

title = "Using hybrid hadamard error correcting output codes for multi-class problem based on support vector machines",

abstract = "The Error-Correcting Output Codes (ECOC) method reduces the multi-class learning problem into a series of binary classifiers. In this paper, we propose a modified Hadamard-type ECOC method. This method uses both N'th order and N/2'th-order Hadamard matrix to construct error correcting output codes, which is called Hybrid Hadamard ECOC Experiments based on dichotomizers of Support Vector Machines (SVM) have been carried out to evaluate the performance of the proposed method. When compared to normal Hadamard ECOC, computation of the method is reduced greatly while the accuracy of classification only drops slightly.",

author = "Huang Shilei and Xie Xiang and Kuang Jingming",

year = "2006",

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pages = "7--10",

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note = "2006 International Conference on Computational Intelligence and Security, ICCIAS 2006 ; Conference date: 03-10-2006 Through 06-10-2006",

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Shilei, H, Xiang, X & Jingming, K 2006, Using hybrid hadamard error correcting output codes for multi-class problem based on support vector machines. in 2006 International Conference on Computational Intelligence and Security, ICCIAS 2006., 4072034, 2006 International Conference on Computational Intelligence and Security, ICCIAS 2006, vol. 1, IEEE Computer Society, pp. 7-10, 2006 International Conference on Computational Intelligence and Security, ICCIAS 2006, Guangzhou, China, 3/10/06. https://doi.org/10.1109/ICCIAS.2006.294081

Using hybrid hadamard error correcting output codes for multi-class problem based on support vector machines. / Shilei, Huang; Xiang, Xie; Jingming, Kuang.
2006 International Conference on Computational Intelligence and Security, ICCIAS 2006. IEEE Computer Society, 2006. p. 7-10 4072034 (2006 International Conference on Computational Intelligence and Security, ICCIAS 2006; Vol. 1).

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

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N2 - The Error-Correcting Output Codes (ECOC) method reduces the multi-class learning problem into a series of binary classifiers. In this paper, we propose a modified Hadamard-type ECOC method. This method uses both N'th order and N/2'th-order Hadamard matrix to construct error correcting output codes, which is called Hybrid Hadamard ECOC Experiments based on dichotomizers of Support Vector Machines (SVM) have been carried out to evaluate the performance of the proposed method. When compared to normal Hadamard ECOC, computation of the method is reduced greatly while the accuracy of classification only drops slightly.

AB - The Error-Correcting Output Codes (ECOC) method reduces the multi-class learning problem into a series of binary classifiers. In this paper, we propose a modified Hadamard-type ECOC method. This method uses both N'th order and N/2'th-order Hadamard matrix to construct error correcting output codes, which is called Hybrid Hadamard ECOC Experiments based on dichotomizers of Support Vector Machines (SVM) have been carried out to evaluate the performance of the proposed method. When compared to normal Hadamard ECOC, computation of the method is reduced greatly while the accuracy of classification only drops slightly.

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Shilei H, Xiang X, Jingming K. Using hybrid hadamard error correcting output codes for multi-class problem based on support vector machines. In 2006 International Conference on Computational Intelligence and Security, ICCIAS 2006. IEEE Computer Society. 2006. p. 7-10. 4072034. (2006 International Conference on Computational Intelligence and Security, ICCIAS 2006). doi: 10.1109/ICCIAS.2006.294081

Using hybrid hadamard error correcting output codes for multi-class problem based on support vector machines

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