Proceedings of the Annual Conference of the Institute of Systems, Control and Information Engineers
The 52nd Annual Conference of the Institute of Systems, Control and Information Engineers
Session ID : 5S2-5
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Host: Institute of Systems, Control and Information Engineers

Improvement of Incremental Principal Component Analysis
Kazuya Matsumoto, *Seiichi Ozawa
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Keywords: pattern recognition, feature extraction, incremental learning, Principal Component Analysis
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Abstract
In this work, we proposed an extended version of Chunk Incremental Principal Component Analysis in which the threshold of accumulation ratio is dynamically determined. The experimental results show that the extended Chunk IPCA can determine proper thresholds dynamically so as to keep high classification accuracy.
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© 2008 The Institute of Systems, Control and Information Engineers
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