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Face classification by a random forest

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conference contribution
posted on 2007-01-01, 00:00 authored by Abbas KouzaniAbbas Kouzani, Saeid Nahavandi, Khashayar Khoshmanesh
This paper presents a random forest-based face image classification method. The random forest is an ensemble learning method that grows many classification trees. Each tree gives a classification. The forest selects the classification that has the most votes. Three experiments are performed. The random forest-based method together with several existing approaches are trained and evaluated. The experimental results are presented and discussed.

History

Pagination

1 - 4

Location

Taipei, Taiwan

Open access

  • Yes

Start date

2007-10-30

End date

2007-11-02

ISBN-13

9781424412723

ISBN-10

1424412722

Language

eng

Notes

This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.

Publication classification

E1 Full written paper - refereed

Copyright notice

2007, IEEE.

Title of proceedings

2007 IEEE Region 10 Conference : TENCON 2007

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