N-division output coding method applied to face recognition

Jaepil Ko, Hyeran Byun

Research output: Contribution to journalArticlepeer-review

3 Citations (Scopus)


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
Issue number16
Publication statusPublished - 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


Dive into the research topics of 'N-division output coding method applied to face recognition'. Together they form a unique fingerprint.

Cite this