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Paper Abstract and Keywords
Presentation 2021-05-14 11:15
Proposal and Evaluation of an Object Estimation Method Inspired by Multimodal Information Processing in the Brain
Ryoga Seki, Daichi Kominami, Hideyuki Shimonishi, Masayuki Murata (Osaka Univ.), Masaya Fujiwaka, Kosuke Nogami (NEC) CQ2021-14
Abstract (in Japanese) (See Japanese page) 
(in English) In order to realize the digital twin, it is desired to instantly identify various objects in the real world through sensor devices, determine their locations, and represent them on the computer. However, the obtained information is affected by noise and traffic of sensor devices to some extent, and object estimation methods based on accurate information that have been considered in the past have their limitations. Therefore, there is a need to make a fast and accurate decision on what the object is based on uncertain observation information such as low-resolution video information. In this paper, we focus on the information processing mechanism of the brain, which makes decisions based on multiple types of uncertain observed information, and propose a method for estimating objects from noisy observed information by incorporating this mechanism. Through a computer simulation, we show that our proposal identifies an object accurately and quickly from uncertain observed information.
Keyword (in Japanese) (See Japanese page) 
(in English) Digital twin / Bayesian Attractor Model / Bayesian Causal Inference / / / / /  
Reference Info. IEICE Tech. Rep., vol. 121, no. 15, CQ2021-14, pp. 59-64, May 2021.
Paper # CQ2021-14 
Date of Issue 2021-05-06 (CQ) 
ISSN Online edition: ISSN 2432-6380
Copyright
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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 CQ2021-14

Conference Information
Committee CS CQ  
Conference Date 2021-05-13 - 2021-05-14 
Place (in Japanese) (See Japanese page) 
Place (in English) On-line 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Optical/Wireless Access and Their Integration, Communication Behavior, QoE and Psychology, Assessment / Measurement / Control / Optimization of Communication Quality, Network Services, Wireless Networks, MIMO/Diversity/Multiplexing Techniques, etc. 
Paper Information
Registration To CQ 
Conference Code 2021-05-CS-CQ 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Proposal and Evaluation of an Object Estimation Method Inspired by Multimodal Information Processing in the Brain 
Sub Title (in English)  
Keyword(1) Digital twin  
Keyword(2) Bayesian Attractor Model  
Keyword(3) Bayesian Causal Inference  
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1st Author's Name Ryoga Seki  
1st Author's Affiliation Osaka University (Osaka Univ.)
2nd Author's Name Daichi Kominami  
2nd Author's Affiliation Osaka University (Osaka Univ.)
3rd Author's Name Hideyuki Shimonishi  
3rd Author's Affiliation Osaka University (Osaka Univ.)
4th Author's Name Masayuki Murata  
4th Author's Affiliation Osaka University (Osaka Univ.)
5th Author's Name Masaya Fujiwaka  
5th Author's Affiliation NEC Corporation (NEC)
6th Author's Name Kosuke Nogami  
6th Author's Affiliation NEC Corporation (NEC)
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Speaker Author-1 
Date Time 2021-05-14 11:15:00 
Presentation Time 25 minutes 
Registration for CQ 
Paper # CQ2021-14 
Volume (vol) vol.121 
Number (no) no.15 
Page pp.59-64 
#Pages
Date of Issue 2021-05-06 (CQ) 


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