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Paper Abstract and Keywords
Presentation 2018-08-27 13:25
Learning ARGO Profiles by using the Signature Method
Nozomi Sugiura, Shigeki Hosoda (JAMSTEC) AI2018-18
Abstract (in Japanese) (See Japanese page) 
(in English) A profile in the ARGO ocean observing array can be viewed as a sequence of three-dimensional vectors composed of pressure, salinity, and temperature. Since it appears as a continuous curve in three-dimensional space, the collection of all the iterated integrals, the signature, is able to represent its shape, and the set of signatures fits into an algebraic structure. Moreover, a nonlinear function of the profile shape can be represented by a linear combination of the iterated integrals. Such a mathematical structure allows us to perform machine learning for nonlinear functions with respect to the shape of profiles. This method is applicable to the automatic quality control of the ARGO profile data.
Keyword (in Japanese) (See Japanese page) 
(in English) Ocean observation / Machine learning / Quality control / Signature / / / /  
Reference Info. IEICE Tech. Rep., vol. 118, no. 197, AI2018-18, pp. 27-32, Aug. 2018.
Paper # AI2018-18 
Date of Issue 2018-08-20 (AI) 
ISSN 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 AI2018-18

Conference Information
Committee AI  
Conference Date 2018-08-27 - 2018-08-27 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
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Paper Information
Registration To AI 
Conference Code 2018-08-AI 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Learning ARGO Profiles by using the Signature Method 
Sub Title (in English)  
Keyword(1) Ocean observation  
Keyword(2) Machine learning  
Keyword(3) Quality control  
Keyword(4) Signature  
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1st Author's Name Nozomi Sugiura  
1st Author's Affiliation Japan Agency for Marine-Earth Science and Technology (JAMSTEC)
2nd Author's Name Shigeki Hosoda  
2nd Author's Affiliation Japan Agency for Marine-Earth Science and Technology (JAMSTEC)
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Speaker Author-1 
Date Time 2018-08-27 13:25:00 
Presentation Time 25 minutes 
Registration for AI 
Paper # AI2018-18 
Volume (vol) vol.118 
Number (no) no.197 
Page pp.27-32 
#Pages 6 
Date of Issue 2018-08-20 (AI) 

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