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| Presentation | 2017-11-09 13:00 Hidden Semi-Markov Model Representing State Overlap for Multiple Sequential Data Input Hiromi Narimatsu, Hiroyuki Kasai (UEC)  IBISML2017-49 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | This paper proposes an extended hidden semi-Markov model (HSMM) to handle multiple sequence inputs. The significant limitation of conventional methods for sequential data modeling is to handle only single sequential data. However, recent developments of sensors that collect sensing data simultaneously as a "grouped sequence" of observations or events have urged us to accommodate them efficiently. Because grouping of multiple sequences causes multiple overlapping observations in the same time period, it is necessary to model such grouped sequences considering such overlaps. To this end, we propose an extended hidden semi-Markov models for multiple sequential data input. This present paper describes the proposed model as well as practical methods to learn and recognize multiple sequences using the proposed model. Exhaustive evaluations are finally provided to show the effectiveness of the proposed model. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Sequential data analysis / State overlap / HSMM / Duration / Interval / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 117, no. 293, IBISML2017-49, pp. 109-114, Nov. 2017. | |
| Paper # | IBISML2017-49 | |
| Date of Issue | 2017-11-02 (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 | IBISML2017-49 |
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| Conference Information | |
| Committee | IBISML |
| Conference Date | 2017-11-08 - 2017-11-10 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Univ. of Tokyo |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Information-Based Induction Science Workshop (IBIS2017) |
| Paper Information | |
| Registration To | IBISML |
| Conference Code | 2017-11-IBISML |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Hidden Semi-Markov Model Representing State Overlap for Multiple Sequential Data Input |
| Sub Title (in English) | |
| Keyword(1) | Sequential data analysis |
| Keyword(2) | State overlap |
| Keyword(3) | HSMM |
| Keyword(4) | Duration |
| Keyword(5) | Interval |
| Keyword(6) | |
| Keyword(7) | |
| Keyword(8) | |
| 1st Author's Name | Hiromi Narimatsu |
| 1st Author's Affiliation | The University of Electro-Communications (UEC) |
| 2nd Author's Name | Hiroyuki Kasai |
| 2nd Author's Affiliation | The University of Electro-Communications (UEC) |
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| Speaker | Author-1 |
| Date Time | 2017-11-09 13:00:00 |
| Presentation Time | 150 minutes |
| Registration for | IBISML |
| Paper # | IBISML2017-49 |
| Volume (vol) | vol.117 |
| Number (no) | no.293 |
| Page | pp.109-114 |
| #Pages | 6 |
| Date of Issue | 2017-11-02 (IBISML) |
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