N-division output coding method applied to face recognition

Jaepil Ko, Hyeran Byun

Research output: Contribution to journalArticle

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 languageEnglish
Pages (from-to)3115-3123
Number of pages9
JournalPattern Recognition Letters
Volume24
Issue number16
DOIs
Publication statusPublished - 2003 Jan 1

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Face recognition
Classifiers
Experiments

All Science Journal Classification (ASJC) codes

  • Software
  • Signal Processing
  • Computer Vision and Pattern Recognition
  • Artificial Intelligence

Cite this

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N-division output coding method applied to face recognition. / Ko, Jaepil; Byun, Hyeran.

In: Pattern Recognition Letters, Vol. 24, No. 16, 01.01.2003, p. 3115-3123.

Research output: Contribution to journalArticle

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