Various Decomposition Methods Applied to Face Recognition

Jaepil Ko, Eunju Kim, Hyeran Byun

Research output: Contribution to conferencePaperpeer-review


Face recognition has mainly focused on face representation, so a simple classifier is frequently used. For a robust system, it is common to construct a multiclass classifier by combining outputs of several binary ones. In this paper, we overviews basic decomposition and decoding schemes and propose new methods then give empirical results of recognition performance on the ORL face dataset.

Original languageEnglish
Number of pages6
Publication statusPublished - 2003
EventInternational Joint Conference on Neural Networks 2003 - Portland, OR, United States
Duration: 2003 Jul 202003 Jul 24


OtherInternational Joint Conference on Neural Networks 2003
Country/TerritoryUnited States
CityPortland, OR

All Science Journal Classification (ASJC) codes

  • Software
  • Artificial Intelligence


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