| Presentation | 2013-03-14 Validation of Dimension Reduction Methods for Two-Dimensional Image Pattern Classification Hayato ITOH, Atsushi IMIYA, Tomoya SAKAI, |
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| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | In this paper, we experimentally evaluate the validity of topology-preserving dimension-reduction methods for image pattern recognition. Image pattern recognition uses pattern recognition techniques for the classification of image data. For the numerical achievement of image pattern recognition techniques, images are sampled using an array of pixels. This sampling procedure derives vectors in a higher-dimensional metric space from image patterns. For the accurate achievement of pattern recognition techniques, the dimension reduction of data vectors is an essential methodology, since the time and space complexities of data processing depend on the dimension of data.However, the dimension reduction causes information loss of geometrical and topological features of image patterns. The desired dimension-reduction method selects an appropriate low-dimensional subspace that preserves the topological information of the classification space. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | dimension reduction / principle component analysis / discrete cosine transform / random projection / topological structure / discriminant space / image pattern recognition |
| Paper # | PRMU2012-183 |
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| Conference Information | |
| Committee | PRMU |
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| Conference Date | 2013/3/7(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 | ENG |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Validation of Dimension Reduction Methods for Two-Dimensional Image Pattern Classification |
| Sub Title (in English) | |
| Keyword(1) | dimension reduction |
| Keyword(2) | principle component analysis |
| Keyword(3) | discrete cosine transform |
| Keyword(4) | random projection |
| Keyword(5) | topological structure |
| Keyword(6) | discriminant space |
| Keyword(7) | image pattern recognition |
| 1st Author's Name | Hayato ITOH |
| 1st Author's Affiliation | School of Advanced Integration Science, Chiba University() |
| 2nd Author's Name | Atsushi IMIYA |
| 2nd Author's Affiliation | Institute of Media and Information Technology, Chiba University |
| 3rd Author's Name | Tomoya SAKAI |
| 3rd Author's Affiliation | Department of Computer and Information Sciences, Nagasaki University |
| Date | 2013-03-14 |
| Paper # | PRMU2012-183 |
| Volume (vol) | vol.112 |
| Number (no) | 495 |
| Page | pp.pp.- |
| #Pages | 6 |
| Date of Issue | |