IEICE Technical Committee Submission System
Conference Schedule
Online Proceedings
[Sign in]
Tech. Rep. Archives
    [Japanese] / [English] 
( Committee/Place/Topics  ) --Press->
( Paper Keywords:  /  Column:Title Auth. Affi. Abst. Keyword ) --Press->

All Technical Committee Conferences  (Searched in: All Years)

Search Results: Conference Papers
 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 8 of 8  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
EA, ASJ-H 2021-07-16
Online Online A feature selection method for a decision tree based audio event detection
Shin Murata, Shoichiro Saito, Kazunori Kobayashi (NTT) EA2021-18
 [more] EA2021-18
IBISML 2018-11-05
Hokkaido Hokkaido Citizens Activites Center (Kaderu 2.7) [Poster Presentation] Normal mode selection of coherent phonons by Bayesian LARS-OLS
Itsushi Sakata, Yoshihiro Nagano (UTokyo), Yasushiko Igarashi (JST), Shin Murata (UTokyo), Kohji Mizoguchi (Osaka Prefecture Univ.), Ichiro Akai (Kumamoto Univ.), Masato Okada (UTokyo) IBISML2018-78
Coherent phonon (CP) signals contain normal modes representing the material property and experimental artifacts. It is p... [more] IBISML2018-78
PRMU, IBISML, IPSJ-CVIM [detail] 2018-09-20
Fukuoka   Supervised anomaly detection using hyperspherical surface latent space autoencoder
Yuta Kawachi, Yuma Koizumi, Shin Murata, Noboru Harada (NTT) PRMU2018-36 IBISML2018-13
 [more] PRMU2018-36 IBISML2018-13
IBISML 2017-11-10
Tokyo Univ. of Tokyo [Poster Presentation] Nonlinear parametric model based on power law for tsunami height prediction
Masashi Yoshikawa (UT), Yasuhiko Igarashi (JST), Shin Murata (UT), Toshitaka Baba (TU), Takane Hori (JAMSTEC), Masato Okada (UT) IBISML2017-70
When a subduction-zone earthquake occurs, we need to predict the tsunami height in order to cope with the tsunami damage... [more] IBISML2017-70
IBISML 2016-11-17
Kyoto Kyoto Univ. Gaussian Markov random field model without periodic boundary conditions
Shun Katakami, Hirotaka Sakamoto, Shin Murata, Masato Okada (UTokyo) IBISML2016-83
In this study, we discuss Gaussian Markov random field model without periodic boundary conditions. First, we formulate a... [more] IBISML2016-83
IBISML 2016-11-17
Kyoto Kyoto Univ. Extraction of low dimensional attractors embedded in a recurrent neural network by using Dynamic Mode Decomposition
Shin Murata (Univ. Tokyo), Masato Okada (Univ. Tokyo/RIKEN) IBISML2016-85
Dynamic Mode Decomposition (DMD) decomposes high-dimensional dynamical data into a few dynamic modes and has been develo... [more] IBISML2016-85
NC, MBE 2015-03-17
Tokyo Tamagawa University Latent dynamics estimation from time-series spectral data
Shin Murata, Kenji Nagata (Univ. of Tokyo), Makoto Uemura (Hiroshima Univ.), Masato Okada (Univ. of Tokyo/RIKEN) MBE2014-173 NC2014-124
Estimation of latent dynamics from time-series data is important problem in a broad range of fields. In this research, w... [more] MBE2014-173 NC2014-124
Aichi Toyohashi University of Technology Instabilities of spurious state with synaptic depression
Shin Murata, Yosuke Otsubo, Kenji Nagata (Univ. of Tokyo), Masato Okada (Univ. of Tokyo/BSI RIKEN) NC2012-79
The associative memory model is one of typical neural network model and has equilibrium state called spurious state in w... [more] NC2012-79
 Results 1 - 8 of 8  /   
Choose a download format for default settings. [NEW !!]
Text format pLaTeX format CSV format BibTeX format
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)

[Return to Top Page]

[Return to IEICE Web Page]

The Institute of Electronics, Information and Communication Engineers (IEICE), Japan