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| Presentation | 2018-03-06 11:15 Selecting discriminative and representative patterns from sequence data: an approach based on classification model and morse complex Masayuki Karasuyama (Nagoya Inst. of Tech./NIMS/JST), Ichiro Takeuchi (Nagoya Inst. of Tech./NIMS/RIKEN)  IBISML2017-101 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | We study classification problem on the sequences of continuous observations. In particular, we are interested in identifying class specific consecutive subsequences. We consider a model which only has local dependency in the sequence, and define a class specificity score of a given consecutive sub-sequence. By partitioning the input sub-sequence space based on morse complex of the class specificity score function, representatives of class specific patterns can be identified. A remarkable property of our approach is that all procedures can be performed without depending any initialization, and the optimal values can be obtained uniquely. Numerical experiments show effectiveness of our approach. |
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| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | time-series classification / morse complex / latent variable model / / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 117, no. 475, IBISML2017-101, pp. 77-84, March 2018. | |
| Paper # | IBISML2017-101 | |
| Date of Issue | 2018-02-26 (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 | IBISML2017-101 |
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| Conference Information | |
| Committee | IBISML |
| Conference Date | 2018-03-05 - 2018-03-06 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Nishijin Plaza, Kyushu University |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Statisitical Mathematics, Machine Learning, Data Mining, etc. |
| Paper Information | |
| Registration To | IBISML |
| Conference Code | 2018-03-IBISML |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Selecting discriminative and representative patterns from sequence data: an approach based on classification model and morse complex |
| Sub Title (in English) | |
| Keyword(1) | time-series classification |
| Keyword(2) | morse complex |
| Keyword(3) | latent variable model |
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| 1st Author's Name | Masayuki Karasuyama |
| 1st Author's Affiliation | Nagoya Institute of Technology/National Institute for Material Science/Japan Science and Technology Agency (Nagoya Inst. of Tech./NIMS/JST) |
| 2nd Author's Name | Ichiro Takeuchi |
| 2nd Author's Affiliation | Nagoya Institute of Technology/National Institute for Material Science/Institute of Physical and Chemical Research (Nagoya Inst. of Tech./NIMS/RIKEN) |
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| Speaker | Author-1 |
| Date Time | 2018-03-06 11:15:00 |
| Presentation Time | 25 minutes |
| Registration for | IBISML |
| Paper # | IBISML2017-101 |
| Volume (vol) | vol.117 |
| Number (no) | no.475 |
| Page | pp.77-84 |
| #Pages | 8 |
| Date of Issue | 2018-02-26 (IBISML) |
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