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| Presentation | 2009-03-14 10:45 * Aiko Oka, Toshikazu Wada (Wakayama Univ.)  PRMU2008-267 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | This paper presents a regression method, two-dimensional Mahalanobis distance minimization mapping (2D-M3), which is an extention of Mahalanobis Minimization Mapping :M3. M3 is a regression method between very high-dimensional input and output spaces based on Mahalanobis distance minimization criterion. Unlike the original M3, 2D-M3 directly extracts the features from image matrix rather than matrix-to-vector transformation. Because of this, 2D-M3 is much faster than original M3 without consuming much memory. We demonstrate the effectiveness of M3 through extensive experiments on a face image inpainting task. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Linear Regression / two-Dimensional Principal Component Analysis / Mahalanobis Distance / / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 108, no. 484, PRMU2008-267, pp. 183-190, March 2009. | |
| Paper # | PRMU2008-267 | |
| Date of Issue | 2009-03-06 (PRMU) | |
| ISSN | Print edition: ISSN 0913-5685 Online edition: ISSN 2432-6380 | |
| Copyright and reproduction |
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034) | |
| Download PDF | PRMU2008-267 |
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| Conference Information | |
| Committee | PRMU |
| Conference Date | 2009-03-13 - 2009-03-14 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Tohoku Institute of Technology |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Paper Information | |
| Registration To | PRMU |
| Conference Code | 2009-03-PRMU |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | * |
| Sub Title (in English) | |
| Keyword(1) | Linear Regression |
| Keyword(2) | two-Dimensional Principal Component Analysis |
| Keyword(3) | Mahalanobis Distance |
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| 1st Author's Name | Aiko Oka |
| 1st Author's Affiliation | Wakayama University (Wakayama Univ.) |
| 2nd Author's Name | Toshikazu Wada |
| 2nd Author's Affiliation | Wakayama University (Wakayama Univ.) |
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| Speaker | Author-1 |
| Date Time | 2009-03-14 10:45:00 |
| Presentation Time | 30 minutes |
| Registration for | PRMU |
| Paper # | PRMU2008-267 |
| Volume (vol) | vol.108 |
| Number (no) | no.484 |
| Page | pp.183-190 |
| #Pages | 8 |
| Date of Issue | 2009-03-06 (PRMU) |
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