| Presentation | 1997/11/21 Method for finding the Optimal Number of Dimension of Subspace Using Akaike Information Criteria Hitoshi Sakano, Naoki Mukawa, |
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| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Subspace method has been considered important method for pattern recognition. However, how to determine the number of dimension of subspace is still an unsolved problem. In most applications, it is determined experientially and less theoretical analysis is reported. In this paper, we propose a method that can find the optimal dimensionally of subspace through using Akaike Information Criteria (AIC). The effectiveness of proposed method is examined with two experiments of character recognition and face verification. Experimental results show that our proposal is more effective than faithfullness method to find a suitable dimension for a subspace. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | AIC / Subspace Method / Character Recognition / Face Verification |
| Paper # | PRMU97-173 |
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| Conference Information | |
| Committee | PRMU |
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| Conference Date | 1997/11/21(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
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| 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) | Method for finding the Optimal Number of Dimension of Subspace Using Akaike Information Criteria |
| Sub Title (in English) | |
| Keyword(1) | AIC |
| Keyword(2) | Subspace Method |
| Keyword(3) | Character Recognition |
| Keyword(4) | Face Verification |
| 1st Author's Name | Hitoshi Sakano |
| 1st Author's Affiliation | Laboratry for Information Technology NTT DATA CORPORATION() |
| 2nd Author's Name | Naoki Mukawa |
| 2nd Author's Affiliation | Laboratry for Information Technology NTT DATA CORPORATION |
| Date | 1997/11/21 |
| Paper # | PRMU97-173 |
| Volume (vol) | vol.97 |
| Number (no) | 387 |
| Page | pp.pp.- |
| #Pages | 8 |
| Date of Issue | |