| Presentation | 2004-12-17 Approximate Solution of Matrix Principal Component Analysis (MPCA) Kohei INOUE, Kiichi URAHAMA, |
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| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Vector data are mapped to low-dimensional space with one orthonormal matrix in ordinary principal component analysis (PCA), which has been extended to 2DPCA in which matrix data are mapped into low-dimensional space with one orthonormal matrix. This paper is addressed to MPCA in which matrix data are mapped with two orthonormal matrices. We present a direct solution scheme for obtaining an approximate solution of the reconstruction error minimization problem in MPCA instead of a previous iterative solution method. The present method is applied to image compression and recognition of face images and its high performance is revealed in compression rates, recognition speeds and classification rates. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | matrix principal component analysis / higher-order singular value decomposition / image compression, face recognition |
| Paper # | PRMU2004-145 |
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| Conference Information | |
| Committee | PRMU |
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| Conference Date | 2004/12/10(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
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| Paper Information | |
| Registration To | Pattern Recognition and Media Understanding (PRMU) |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Approximate Solution of Matrix Principal Component Analysis (MPCA) |
| Sub Title (in English) | |
| Keyword(1) | matrix principal component analysis |
| Keyword(2) | higher-order singular value decomposition |
| Keyword(3) | image compression, face recognition |
| 1st Author's Name | Kohei INOUE |
| 1st Author's Affiliation | Faculty of Design, Kyushu University() |
| 2nd Author's Name | Kiichi URAHAMA |
| 2nd Author's Affiliation | Faculty of Design, Kyushu University |
| Date | 2004-12-17 |
| Paper # | PRMU2004-145 |
| Volume (vol) | vol.104 |
| Number (no) | 524 |
| Page | pp.pp.- |
| #Pages | 4 |
| Date of Issue | |