Optimality of Decision Boundary Feature Extraction for Multiclass Problems

Jinwook Go, Chulhee Lee

Research output: Contribution to conferencePaper

1 Citation (Scopus)

Abstract

In the decision boundary feature extraction algorithm, it was shown that useful information for discriminating among classes is related to decision boundaries and the method was extended to multiclass problems by combining the decision boundary feature matrix of each pair of classes. However, it was reported that this method could result in performance loss since some decision boundaries between two classes might be irrelevant in a multiclass problem. In this paper, we propose a method to eliminate this inefficiency and examine whether such occurrence affects the performance of the decision boundary feature extraction algorithm in multiclass problems.

Original languageEnglish
Pages2051-2053
Number of pages3
Publication statusPublished - 2003
Event2003 IGARSS: Learning From Earth's Shapes and Colours - Toulouse, France
Duration: 2003 Jul 212003 Jul 25

Other

Other2003 IGARSS: Learning From Earth's Shapes and Colours
CountryFrance
CityToulouse
Period03/7/2103/7/25

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Earth and Planetary Sciences(all)

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  • Cite this

    Go, J., & Lee, C. (2003). Optimality of Decision Boundary Feature Extraction for Multiclass Problems. 2051-2053. Paper presented at 2003 IGARSS: Learning From Earth's Shapes and Colours, Toulouse, France.