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 - 9 of 9  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
NC, MBE
(Joint)
2020-03-05
16:35
Tokyo University of Electro Communications
(Cancelled but technical report was issued)
Sparse STC estimation of suppressive elements for neurons in primary visual cortex
Reiji Tanaka (Osaka Univ.), Kota Sasaki (Osaka Univ./NICT), Hirotaka Sakamoto, Yoshihiro Nagano (Tokyo Univ.), Yonghao Yue (Aoyama Gakuin Univ.), Masato Okada (Tokyo Univ./RIKEN), Izumi Ohzawa (Osaka Univ./NICT) NC2019-102
To improve a functional model for visual neurons, we have been developing a novel technique (sparse STC) where a spike-t... [more] NC2019-102
pp.155-159
IBISML 2018-11-05
15:10
Hokkaido Hokkaido Citizens Activites Center (Kaderu 2.7) [Poster Presentation] Lattice Model Selection of Gaussian Markov Random Field
Hirosato Ito, Hirotaka Sakamoto, Shun Katakami, Masato Okada (Univ. Tokyo) IBISML2018-69
Recently, many observed images have been obtained in various natural scientific fields. It is very important issue to e... [more] IBISML2018-69
pp.191-196
IBISML 2018-11-05
15:10
Hokkaido Hokkaido Citizens Activites Center (Kaderu 2.7) [Poster Presentation] Estimation of Sparse Basis Representation for Non-periodic data
Shun Katakami, Hirotaka Sakamoto, Yasuhiko Igarashi, Masato Okada (Univ. Tokyo) IBISML2018-71
In this research, we propose a method to estimate a sparse basis representation for non-periodic data. For periodic data... [more] IBISML2018-71
pp.205-212
IBISML 2017-11-10
13:00
Tokyo Univ. of Tokyo [Poster Presentation] Bin width optimization of multidimensional histogram on count data
Kensuke Muto, Hirotaka Sakamoto, Keisuke Matsuura, Takahisa Arima, Masato Okada (Tokyo Univ.) IBISML2017-69
A large amount of 4-dimensional count data are obtained by inelastic neutron scattering experiments conducted by chopper... [more] IBISML2017-69
pp.255-260
IBISML 2017-11-10
13:00
Tokyo Univ. of Tokyo Approximated hyperparameter distribution estimation using Gaussian process and Bayesian optimization
Shun Katakami, Hirotaka Sakamoto, Masato Okada (UTokyo) IBISML2017-81
In order to reduce the computational cost of Bayesian inference, we propose a method to estimate the Bayesian posterior ... [more] IBISML2017-81
pp.333-338
NC, NLP
(Joint)
2017-01-26
16:00
Fukuoka Kitakyushu Foundation for the Advanement of Ind. Sci. and Tech. Fast Receptive field Inference with Sparse Fourirer Representation by using LASSO
Takeshi Tanida, Hirotaka Sakamoto, Yasuhiko Igarashi, Takeshi Ideriha, Satoru Tokuda (Univ. of Tokyo), Kota Sasaki, Izumi Ohzawa (Osaka Univ.), Masato Okada (Univ. of Tokyo/RIKEN) NC2016-52
We propose fast receptive eld(RF) inference. The RF describes how a neuron sums up its inputs across
space and time. T... [more]
NC2016-52
pp.25-30
IBISML 2016-11-17
14:00
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
pp.267-274
NC, MBE 2015-03-17
13:25
Tokyo Tamagawa University Effects of downsampling on hyperparameter estimation for Markov random field model
Hirotaka Sakamoto (Univ. Tokyo), Yoshinori Nakanishi-Ohno (Univ. Tokyo/JSPS), Masato Okada (Univ. Tokyo/RIKEN) MBE2014-174 NC2014-125
We investigate effects which downsampling has on latent-variable estimation from image data. Downsampling is essential f... [more] MBE2014-174 NC2014-125
pp.325-330
RCS, AP
(Joint)
2013-11-20
16:50
Shimane Matsue Terrsa Throughput performance for field experiments in MU-MIMO Systems
Takaharu Nagahashi, Kouhei Miyasaka, Takuya Akiyama, Kazuhiro Yamaguchi, Hideaki Matsue (Tokyo University of Science, Suwa), Akio Hasui, Kunio Uekado, Satoshi Furihata (Azumino City), Takakazu Namera, Hiroshi Fukui, Hirotaka Sakamoto, Makoto Uno (MIRAIT Technologies), Satoshi Nanamatsu (NPC CCC21L) RCS2013-174
In this paper, field experimental results for downlink MU-MIMO (multiuser MIMO) system in mobile WiMAX system are analyz... [more] RCS2013-174
pp.1-6
 Results 1 - 9 of 9  /   
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