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Title: Face recognition by combining several algorithms
Authors: Zhou, J
Zhang, DD 
Issue Date: 2002
Source: 16th International Conference on Pattern Recognition : August 11-15, 2002, Québec City, Québec, Canada : proceedings, v. 3, p. 497-500
Abstract: There are many algorithms for human face recognition proposed in recent years. Here, we will study how to combine these algorithms to perform better. A fusion framework combining the existing recognition algorithms based on Support Vector Machine is developed. The experimental results demonstrate its effectiveness.
Keywords: Algorithms
Data reduction
Vectors
Publisher: IEEE Computer Society
ISBN: 0-7695-1695-X
0-7695-1696-3
ISSN: 1051-4651
Rights: © 2002 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
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.
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