| Presentation | 2012-06-28 Fast Incremental Principal Component Analysis and Its Application to Face Image Recognition Daijiro AOKI, Seiichi OZAWA, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | In the conventional Incremental Principal Component Analysis (IPCA), an eigenvalue problem has to be solved whenever one or a small number of training data are given in sequence. Since the eigenvalue decomposition requires high computational costs in general, solving the eigenvalue problem repeatedly results in the deterioration in the real-time learning property of IPCA. Hence, in this work, we propose an improved version of IPCA whose real-time learning property is enhanced without sacrificing the recognition performance by reducing the number of times to solve eigenvalue problems. We show that the improved IPCA can learn principal components real time from a stream of face images. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | IPCA / real-time processing / speeding up / facial image |
| Paper # | NC2012-1 |
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| Committee | NC |
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| Conference Date | 2012/6/21(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
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| Paper Information | |
| Registration To | Neurocomputing (NC) |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Fast Incremental Principal Component Analysis and Its Application to Face Image Recognition |
| Sub Title (in English) | |
| Keyword(1) | IPCA |
| Keyword(2) | real-time processing |
| Keyword(3) | speeding up |
| Keyword(4) | facial image |
| 1st Author's Name | Daijiro AOKI |
| 1st Author's Affiliation | Graduate School of Engineering, Kobe University() |
| 2nd Author's Name | Seiichi OZAWA |
| 2nd Author's Affiliation | Graduate School of Engineering, Kobe University |
| Date | 2012-06-28 |
| Paper # | NC2012-1 |
| Volume (vol) | vol.112 |
| Number (no) | 108 |
| Page | pp.pp.- |
| #Pages | 6 |
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