Boosting in classifier fusion vs. fusing boosted classifiers

Costin Barbu; Kun Zhang; Jing Peng; Bill Buckles

doi:10.1109/IRI-05.2005.1506495

Boosting in classifier fusion vs. fusing boosted classifiers

Costin Barbu, Kun Zhang, Jing Peng, Bill Buckles

Computer Science

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

1 Scopus citations

Abstract

In this paper we investigate the performance of boosting used for fusing various classifiers. We propose a new boosting - based algorithm for fusion and we show through empirical studies on texture image data sets that it outperforms existing SVM-based classifier fusion technique in terms of accuracy, computational efficiency and robustness.

Original language	English
Title of host publication	Proceedings of the 2005 IEEE International Conference on Information Reuse and Integration, IRI - 2005
Pages	332-337
Number of pages	6
DOIs	https://doi.org/10.1109/IRI-05.2005.1506495
State	Published - 2005
Event	2005 IEEE International Conference on Information Reuse and Integration, IRI - 2005 - Las Vegas, NV, United States Duration: 15 Aug 2005 → 17 Aug 2005

Publication series

Name	Proceedings of the 2005 IEEE International Conference on Information Reuse and Integration, IRI - 2005
Volume	2005

Other

Other	2005 IEEE International Conference on Information Reuse and Integration, IRI - 2005
Country/Territory	United States
City	Las Vegas, NV
Period	15/08/05 → 17/08/05

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10.1109/IRI-05.2005.1506495

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Barbu, C., Zhang, K., Peng, J., & Buckles, B. (2005). Boosting in classifier fusion vs. fusing boosted classifiers. In Proceedings of the 2005 IEEE International Conference on Information Reuse and Integration, IRI - 2005 (pp. 332-337). Article 1506495 (Proceedings of the 2005 IEEE International Conference on Information Reuse and Integration, IRI - 2005; Vol. 2005). https://doi.org/10.1109/IRI-05.2005.1506495

@inproceedings{1ce61ae84ece4de0b0aa3c3713e0bd2c,

title = "Boosting in classifier fusion vs. fusing boosted classifiers",

abstract = "In this paper we investigate the performance of boosting used for fusing various classifiers. We propose a new boosting - based algorithm for fusion and we show through empirical studies on texture image data sets that it outperforms existing SVM-based classifier fusion technique in terms of accuracy, computational efficiency and robustness.",

author = "Costin Barbu and Kun Zhang and Jing Peng and Bill Buckles",

year = "2005",

doi = "10.1109/IRI-05.2005.1506495",

language = "English",

isbn = "0780390938",

series = "Proceedings of the 2005 IEEE International Conference on Information Reuse and Integration, IRI - 2005",

pages = "332--337",

booktitle = "Proceedings of the 2005 IEEE International Conference on Information Reuse and Integration, IRI - 2005",

note = "2005 IEEE International Conference on Information Reuse and Integration, IRI - 2005 ; Conference date: 15-08-2005 Through 17-08-2005",

}

Barbu, C, Zhang, K, Peng, J & Buckles, B 2005, Boosting in classifier fusion vs. fusing boosted classifiers. in Proceedings of the 2005 IEEE International Conference on Information Reuse and Integration, IRI - 2005., 1506495, Proceedings of the 2005 IEEE International Conference on Information Reuse and Integration, IRI - 2005, vol. 2005, pp. 332-337, 2005 IEEE International Conference on Information Reuse and Integration, IRI - 2005, Las Vegas, NV, United States, 15/08/05. https://doi.org/10.1109/IRI-05.2005.1506495

Boosting in classifier fusion vs. fusing boosted classifiers. / Barbu, Costin; Zhang, Kun; Peng, Jing et al.
Proceedings of the 2005 IEEE International Conference on Information Reuse and Integration, IRI - 2005. 2005. p. 332-337 1506495 (Proceedings of the 2005 IEEE International Conference on Information Reuse and Integration, IRI - 2005; Vol. 2005).

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

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M3 - Conference contribution

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Barbu C, Zhang K, Peng J, Buckles B. Boosting in classifier fusion vs. fusing boosted classifiers. In Proceedings of the 2005 IEEE International Conference on Information Reuse and Integration, IRI - 2005. 2005. p. 332-337. 1506495. (Proceedings of the 2005 IEEE International Conference on Information Reuse and Integration, IRI - 2005). doi: 10.1109/IRI-05.2005.1506495

Boosting in classifier fusion vs. fusing boosted classifiers

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