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| Presentation | 2017-09-15 16:20 Ridge Regression for Improving the Accuracy of k-Nearest Neighbor Classification Yutaro Shigeto (CIT), Masashi Shimbo, Yuji Matsumoto (NAIST)  PRMU2017-53 IBISML2017-25 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | This paper proposes an inexpensive way to learn an effective dissimilarity function to be used for $k$-nearest neighbor ($k$-NN) classification. Unlike Mahalanobis metric learning methods that map both query (unlabeled) objects and labeled objects to new coordinates by a single transformation, our method learns a transformation of labeled objects to new points in the feature space whereas query objects are kept in their original coordinates. In experiments with large document and image datasets, it achieves $k$-NN classification accuracy better than or at least comparable to the state-of-the-art metric learning methods. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | $k$-nearest neighbor classification / metric learning / ridge regression / hubness phenomenon / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 117, no. 211, IBISML2017-25, pp. 113-119, Sept. 2017. | |
| Paper # | IBISML2017-25 | |
| Date of Issue | 2017-09-08 (PRMU, IBISML) | |
| 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 | PRMU2017-53 IBISML2017-25 |
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| Conference Information | |
| Committee | PRMU IBISML IPSJ-CVIM |
| Conference Date | 2017-09-15 - 2017-09-16 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Paper Information | |
| Registration To | IBISML |
| Conference Code | 2017-09-PRMU-IBISML-CVIM |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Ridge Regression for Improving the Accuracy of k-Nearest Neighbor Classification |
| Sub Title (in English) | |
| Keyword(1) | $k$-nearest neighbor classification |
| Keyword(2) | metric learning |
| Keyword(3) | ridge regression |
| Keyword(4) | hubness phenomenon |
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| 1st Author's Name | Yutaro Shigeto |
| 1st Author's Affiliation | Chiba Institute of Technology (CIT) |
| 2nd Author's Name | Masashi Shimbo |
| 2nd Author's Affiliation | Nara Institute of Science and Technology (NAIST) |
| 3rd Author's Name | Yuji Matsumoto |
| 3rd Author's Affiliation | Nara Institute of Science and Technology (NAIST) |
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| Speaker | Author-1 |
| Date Time | 2017-09-15 16:20:00 |
| Presentation Time | 30 minutes |
| Registration for | IBISML |
| Paper # | PRMU2017-53, IBISML2017-25 |
| Volume (vol) | vol.117 |
| Number (no) | no.210(PRMU), no.211(IBISML) |
| Page | pp.113-119 |
| #Pages | 7 |
| Date of Issue | 2017-09-08 (PRMU, IBISML) |
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