A random network ensemble for recognition

Kwontaeg Choi, Kar Ann Toh, Hyeran Byun

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

Abstract

In this paper, we propose a random network ensemble for face recognition problem, particularly for images with a large appearance variation and with a limited number of training set. In order to reduce the correlation within the network ensemble using a single type of feature extractor and classifier, localized random facial features have been constructed together with internally randomized networks. The ensemble classifier is finally constructed by combining these multiple networks via a sum rule. The proposed method is shown to have a better accuracy(31.5% and 15.3% improvements on AR and EYALEB databases respectively) and a better efficiency than that of the widely used PCA- SVM.

Original languageEnglish
Title of host publicationAdvances in Biometrics - Third International Conference, ICB 2009, Proceedings
Pages92-101
Number of pages10
Volume5558 LNCS
DOIs
Publication statusPublished - 2009 Sep 14
Event3rd International Conference on Advances in Biometrics, ICB 2009 - Alghero, Italy
Duration: 2009 Jun 22009 Jun 5

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume5558 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other3rd International Conference on Advances in Biometrics, ICB 2009
CountryItaly
CityAlghero
Period09/6/209/6/5

Fingerprint

Random Networks
Ensemble
Classifiers
Face recognition
Ensemble Classifier
Extractor
Sum Rules
Face Recognition
Classifier

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

Choi, K., Toh, K. A., & Byun, H. (2009). A random network ensemble for recognition. In Advances in Biometrics - Third International Conference, ICB 2009, Proceedings (Vol. 5558 LNCS, pp. 92-101). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5558 LNCS). https://doi.org/10.1007/978-3-642-01793-3_10
Choi, Kwontaeg ; Toh, Kar Ann ; Byun, Hyeran. / A random network ensemble for recognition. Advances in Biometrics - Third International Conference, ICB 2009, Proceedings. Vol. 5558 LNCS 2009. pp. 92-101 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
@inproceedings{a10d2d54f7f741bcadb62feaa0b9d8bf,
title = "A random network ensemble for recognition",
abstract = "In this paper, we propose a random network ensemble for face recognition problem, particularly for images with a large appearance variation and with a limited number of training set. In order to reduce the correlation within the network ensemble using a single type of feature extractor and classifier, localized random facial features have been constructed together with internally randomized networks. The ensemble classifier is finally constructed by combining these multiple networks via a sum rule. The proposed method is shown to have a better accuracy(31.5{\%} and 15.3{\%} improvements on AR and EYALEB databases respectively) and a better efficiency than that of the widely used PCA- SVM.",
author = "Kwontaeg Choi and Toh, {Kar Ann} and Hyeran Byun",
year = "2009",
month = "9",
day = "14",
doi = "10.1007/978-3-642-01793-3_10",
language = "English",
isbn = "3642017924",
volume = "5558 LNCS",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
pages = "92--101",
booktitle = "Advances in Biometrics - Third International Conference, ICB 2009, Proceedings",

}

Choi, K, Toh, KA & Byun, H 2009, A random network ensemble for recognition. in Advances in Biometrics - Third International Conference, ICB 2009, Proceedings. vol. 5558 LNCS, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 5558 LNCS, pp. 92-101, 3rd International Conference on Advances in Biometrics, ICB 2009, Alghero, Italy, 09/6/2. https://doi.org/10.1007/978-3-642-01793-3_10

A random network ensemble for recognition. / Choi, Kwontaeg; Toh, Kar Ann; Byun, Hyeran.

Advances in Biometrics - Third International Conference, ICB 2009, Proceedings. Vol. 5558 LNCS 2009. p. 92-101 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5558 LNCS).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

TY - GEN

T1 - A random network ensemble for recognition

AU - Choi, Kwontaeg

AU - Toh, Kar Ann

AU - Byun, Hyeran

PY - 2009/9/14

Y1 - 2009/9/14

N2 - In this paper, we propose a random network ensemble for face recognition problem, particularly for images with a large appearance variation and with a limited number of training set. In order to reduce the correlation within the network ensemble using a single type of feature extractor and classifier, localized random facial features have been constructed together with internally randomized networks. The ensemble classifier is finally constructed by combining these multiple networks via a sum rule. The proposed method is shown to have a better accuracy(31.5% and 15.3% improvements on AR and EYALEB databases respectively) and a better efficiency than that of the widely used PCA- SVM.

AB - In this paper, we propose a random network ensemble for face recognition problem, particularly for images with a large appearance variation and with a limited number of training set. In order to reduce the correlation within the network ensemble using a single type of feature extractor and classifier, localized random facial features have been constructed together with internally randomized networks. The ensemble classifier is finally constructed by combining these multiple networks via a sum rule. The proposed method is shown to have a better accuracy(31.5% and 15.3% improvements on AR and EYALEB databases respectively) and a better efficiency than that of the widely used PCA- SVM.

UR - http://www.scopus.com/inward/record.url?scp=69949182469&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=69949182469&partnerID=8YFLogxK

U2 - 10.1007/978-3-642-01793-3_10

DO - 10.1007/978-3-642-01793-3_10

M3 - Conference contribution

SN - 3642017924

SN - 9783642017926

VL - 5558 LNCS

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 92

EP - 101

BT - Advances in Biometrics - Third International Conference, ICB 2009, Proceedings

ER -

Choi K, Toh KA, Byun H. A random network ensemble for recognition. In Advances in Biometrics - Third International Conference, ICB 2009, Proceedings. Vol. 5558 LNCS. 2009. p. 92-101. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-642-01793-3_10