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Updating algorithm for extracting the basis of karhunen-loeve transform in non-zero mean data

  • Xi'an Jiaotong University
  • Xiamen University

科研成果: 书/报告/会议事项章节会议稿件同行评审

2 引用 (Scopus)

摘要

Karhunen-Loeve transform (KLT) is a popular method for dimensional reduction and feature extraction in image analysis, signal processing and automatic control systems, and so on. The drawback of the KLT is expensive computation. So the efficient updating algorithms were proposed in signal processing and numerical linear algebra. The updating algorithms make the active learning and recognition possible. But they mainly deal with zero mean data. In this paper, we propose an updating algorithm for KLT for non-zero mean data. And we also show its application in face analysis. The experimental results demonstrate the efficiency of our algorithm.

源语言英语
主期刊名2004 7th International Conference on Signal Processing Proceedings, ICSP
1404-1407
页数4
出版状态已出版 - 2004
活动2004 7th International Conference on Signal Processing Proceedings, ICSP - Beijing, 中国
期限: 31 8月 20044 9月 2004

出版系列

姓名2004 7th International Conference on Signal Processing Proceedings, ICSP

会议

会议2004 7th International Conference on Signal Processing Proceedings, ICSP
国家/地区中国
Beijing
时期31/08/044/09/04

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