A fast evolutionary pursuit algorithm based on linearly combining vectors

Qijun Zhao, Hongtao Lu, Dapeng Zhang

Research output: Journal article publicationJournal articleAcademic researchpeer-review

6 Citations (Scopus)

Abstract

In this paper, we propose a fast Evolutionary pursuit algorithm. It searches for optimal discriminant vectors through linearly combining standard bases. Experiments on the Yale and ORL databases verify its effectiveness and enhanced efficiency.
Original languageEnglish
Pages (from-to)310-312
Number of pages3
JournalPattern Recognition
Volume39
Issue number2
DOIs
Publication statusPublished - 1 Feb 2006

Keywords

  • Evolutionary pursuit
  • Face recognition
  • Linear combination

ASJC Scopus subject areas

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

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