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| Presentation | 2010-09-05 17:30 A Study on Feature Selection Path for High-Dimensional Local Classifiers Ichiro Takeuchi (NIT)  PRMU2010-71 IBISML2010-43 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | We study feature selection and weighting problems for local-based classifier. The proposed algorithm is formulated as a regularized empirical loss minimization problem w.r.t. feature weights. We show that the solution of the problem yields sparse feature weights, and it enables us to select a subset of features by choosing an appropriate regularization parameter. Furthermore, we develop an algorithm to compute the entire regularization path of the problem. Feature weighting problem is defined using, what is called, {\it target-neighbors}, and they must be updated according to the change of feature weights. The proposed algorithm can detect target-neighbor changes by exploiting the piecewise-linearity of the regularization path. This leads us to construct a regularization path algorithm with target-neighbor updates. We show the effectiveness of the proposed algorithm through numerical experiments. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | local-based classifier / nearest-neighbor classifier / feature selection / feature weighting / convex optimization / path-following / parametric programming / metric learning | |
| Reference Info. | IEICE Tech. Rep., vol. 110, no. 188, IBISML2010-43, pp. 105-112, Sept. 2010. | |
| Paper # | IBISML2010-43 | |
| Date of Issue | 2010-08-29 (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 | PRMU2010-71 IBISML2010-43 |
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| Conference Information | |
| Committee | IBISML PRMU IPSJ-CVIM |
| Conference Date | 2010-09-05 - 2010-09-06 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Fukuoka Univ. |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Machine learning and optimization for computer vision and pattern recognition, etc. |
| Paper Information | |
| Registration To | IBISML |
| Conference Code | 2010-09-IBISML-PRMU-CVIM |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | A Study on Feature Selection Path for High-Dimensional Local Classifiers |
| Sub Title (in English) | |
| Keyword(1) | local-based classifier |
| Keyword(2) | nearest-neighbor classifier |
| Keyword(3) | feature selection |
| Keyword(4) | feature weighting |
| Keyword(5) | convex optimization |
| Keyword(6) | path-following |
| Keyword(7) | parametric programming |
| Keyword(8) | metric learning |
| 1st Author's Name | Ichiro Takeuchi |
| 1st Author's Affiliation | Nagoya Institute of Technology (NIT) |
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| Speaker | Author-1 |
| Date Time | 2010-09-05 17:30:00 |
| Presentation Time | 30 minutes |
| Registration for | IBISML |
| Paper # | PRMU2010-71, IBISML2010-43 |
| Volume (vol) | vol.110 |
| Number (no) | no.187(PRMU), no.188(IBISML) |
| Page | pp.105-112 |
| #Pages | 8 |
| Date of Issue | 2010-08-29 (PRMU, IBISML) |
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