N-division output coding method applied to face recognition

Jaepil Ko; Hyeran Byun

doi:10.1016/S0167-8655(03)00179-X

N-division output coding method applied to face recognition

Jaepil Ko, Hyeran Byun

Department of Computer Science

Research output: Contribution to journal › Article › peer-review

3 Citations (Scopus)

Abstract

Most research on face recognition has focused on representation of face appearances rather than the classifiers. For robust classification performance, we need to adopt elaborate classifiers. Output coding is suitable for this purpose because it can allow online learning. In this paper, we propose an N-division output coding method. In the experiments we demonstrate such properties as problem complexity, margin of separation, machine relevance and the recognition performance among different output coding methods.

Original language	English
Pages (from-to)	3115-3123
Number of pages	9
Journal	Pattern Recognition Letters
Volume	24
Issue number	16
DOIs	https://doi.org/10.1016/S0167-8655(03)00179-X
Publication status	Published - 2003 Dec

Bibliographical note

Funding Information:
This work was supported (in part) by Korea Science and Engineering Foundation (KOSEF) through Biometrics Engineering Research Center (BERC) at Yonsei University.

All Science Journal Classification (ASJC) codes

Software
Signal Processing
Computer Vision and Pattern Recognition
Artificial Intelligence

Access to Document

10.1016/S0167-8655(03)00179-X

Cite this

@article{84233f1c0e564a2e9155c7ad850f0afd,

title = "N-division output coding method applied to face recognition",

abstract = "Most research on face recognition has focused on representation of face appearances rather than the classifiers. For robust classification performance, we need to adopt elaborate classifiers. Output coding is suitable for this purpose because it can allow online learning. In this paper, we propose an N-division output coding method. In the experiments we demonstrate such properties as problem complexity, margin of separation, machine relevance and the recognition performance among different output coding methods.",

author = "Jaepil Ko and Hyeran Byun",

note = "Funding Information: This work was supported (in part) by Korea Science and Engineering Foundation (KOSEF) through Biometrics Engineering Research Center (BERC) at Yonsei University. ",

year = "2003",

month = dec,

doi = "10.1016/S0167-8655(03)00179-X",

language = "English",

volume = "24",

pages = "3115--3123",

journal = "Pattern Recognition Letters",

issn = "0167-8655",

publisher = "Elsevier",

number = "16",

}

TY - JOUR

T1 - N-division output coding method applied to face recognition

AU - Ko, Jaepil

AU - Byun, Hyeran

N1 - Funding Information: This work was supported (in part) by Korea Science and Engineering Foundation (KOSEF) through Biometrics Engineering Research Center (BERC) at Yonsei University.

PY - 2003/12

Y1 - 2003/12

N2 - Most research on face recognition has focused on representation of face appearances rather than the classifiers. For robust classification performance, we need to adopt elaborate classifiers. Output coding is suitable for this purpose because it can allow online learning. In this paper, we propose an N-division output coding method. In the experiments we demonstrate such properties as problem complexity, margin of separation, machine relevance and the recognition performance among different output coding methods.

AB - Most research on face recognition has focused on representation of face appearances rather than the classifiers. For robust classification performance, we need to adopt elaborate classifiers. Output coding is suitable for this purpose because it can allow online learning. In this paper, we propose an N-division output coding method. In the experiments we demonstrate such properties as problem complexity, margin of separation, machine relevance and the recognition performance among different output coding methods.

UR - http://www.scopus.com/inward/record.url?scp=0142120482&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0142120482&partnerID=8YFLogxK

U2 - 10.1016/S0167-8655(03)00179-X

DO - 10.1016/S0167-8655(03)00179-X

M3 - Article

AN - SCOPUS:0142120482

VL - 24

SP - 3115

EP - 3123

JO - Pattern Recognition Letters

JF - Pattern Recognition Letters

SN - 0167-8655

IS - 16

ER -

N-division output coding method applied to face recognition

Abstract

Bibliographical note

All Science Journal Classification (ASJC) codes

Access to Document

Other files and links

Fingerprint

Cite this