Paper Abstract and Keywords |
Presentation |
2015-12-19 10:50
A Study of Local Distance Metric Learning and Classifying Method Based on the Local Distances Saito Hiroshi, Mikawa Kenta, Goto Masayuki (Waseda Univ.) AI2015-50 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
The distance metric learning is the approach which enables to acquire a good metric for automatic data classification. In this paper, we focus on the typical distance metric learning approach based on Large Margin Nearest Neighbor (LMNN). This approach learns a single metric matrix from the whole training data, so there is a problem that the single metric matrix cannot represent the difference of statistical characteristics between categories. In order to solve this problem, focusing on the category information of training data, we propose a new method of distance metric learning which learns plural metric matrices that reflect the statistical characteristics. In order to verify the effectiveness of our proposed method, we also propose the classification method based on the combination of the plural metric matrices. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
distance metric learning / Large Margin Nearest Neighbor / metric matrix / classification problem / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 115, no. 381, AI2015-50, pp. 143-148, Dec. 2015. |
Paper # |
AI2015-50 |
Date of Issue |
2015-12-11 (AI) |
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) |
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AI2015-50 |
Conference Information |
Committee |
AI |
Conference Date |
2015-12-18 - 2015-12-19 |
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(See Japanese page) |
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Paper Information |
Registration To |
AI |
Conference Code |
2015-12-AI |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
A Study of Local Distance Metric Learning and Classifying Method Based on the Local Distances |
Sub Title (in English) |
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distance metric learning |
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Large Margin Nearest Neighbor |
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metric matrix |
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classification problem |
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1st Author's Name |
Saito Hiroshi |
1st Author's Affiliation |
Waseda University (Waseda Univ.) |
2nd Author's Name |
Mikawa Kenta |
2nd Author's Affiliation |
Waseda University (Waseda Univ.) |
3rd Author's Name |
Goto Masayuki |
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Waseda University (Waseda Univ.) |
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Speaker |
Author-1 |
Date Time |
2015-12-19 10:50:00 |
Presentation Time |
20 minutes |
Registration for |
AI |
Paper # |
AI2015-50 |
Volume (vol) |
vol.115 |
Number (no) |
no.381 |
Page |
pp.143-148 |
#Pages |
6 |
Date of Issue |
2015-12-11 (AI) |
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