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  (All Years)

Search Results: Conference Papers
 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 37  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
PRMU, IPSJ-CVIM, IPSJ-NL 2021-05-21
10:30
Online Online A Study on Domain Adaptation for Video Action Classification Utilizing Synthetic Data.
Hana Isoi (Ochanomizu Univ.), Atsuko Takefusa (NII), Hidemoto Nakada (AIST), Masato Oguchi (Ochanomizu Univ.) PRMU2021-5
The lack of learning data is considered as one of the reasons why the classification accuracies of deep neural networks ... [more] PRMU2021-5
pp.25-30
PRMU 2020-09-02
16:30
Online Online Representation Learning using Video Frame Prediction and Contrastive Learning
Hidemoto Nakada, Hideki Asoh (AIST) PRMU2020-17
The recent development in the unsupervised learning area enabled accuracy in the downstream tasks that equal the one wit... [more] PRMU2020-17
pp.59-64
CPSY, DC, IPSJ-ARC [detail] 2020-07-30
14:30
Online Online Distributed Runtime Environment with Julia Language
Hidemoto Nakada (AIST) CPSY2020-2 DC2020-2
Julia-lang is a relatively new scripting language aiming at high-performance computing powered by powerful LLVM JIT comp... [more] CPSY2020-2 DC2020-2
pp.9-14
IBISML 2020-03-11
11:35
Kyoto Kyoto University
(Cancelled but technical report was issued)
Pre-training for Action Classification Task Using Video Frame Prediction Task
Hidemoto Nakada, Hideki Asoh (AIST) IBISML2019-45
Continuous Video frames have strongly correlated with each other and thus include rich information that could be leverag... [more] IBISML2019-45
pp.85-90
VLD, DC, CPSY, RECONF, ICD, IE, IPSJ-SLDM, IPSJ-EMB, IPSJ-ARC
(Joint) [detail]
2019-11-14
15:45
Ehime Ehime Prefecture Gender Equality Center
Chikako Takasaki (Ocha Univ.), Atsuko Takefusa (NII), Hidemoto Nakada (AIST), Masato Oguchi (Ocha Univ.) CPSY2019-43
(To be available after the conference date) [more] CPSY2019-43
pp.7-12
PRMU, BioX 2019-03-17
15:15
Tokyo   Arbitrary Charactor Image Generation in Arbitrary Poses using Neural Network
Hidemoto Nakada, Hideki Asoh (AIST) BioX2018-41 PRMU2018-145
Thanks to recent improvement of image generation technologies by neural networks, now we can gener- ate photo-realistic ... [more] BioX2018-41 PRMU2018-145
pp.73-78
CPSY, DC, IPSJ-ARC
(Joint) [detail]
2018-08-01
15:45
Kumamoto Kumamoto City International Center Asynchronous Deep Learning Test-bed to Analyze Gradient Staleness Effect
Duo Zhang (Univ. of Tsukuba), Yusuke Tanimura, Hidemoto Nakada (AIST) CPSY2018-27
For modern machine learning systems, including deep learning systems, parallelization is inevitable since they are requi... [more] CPSY2018-27
pp.199-204
CPSY, DC, IPSJ-ARC
(Joint) [detail]
2018-08-01
16:15
Kumamoto Kumamoto City International Center Adaptation of Ray, a distributed framework for machine learning, to MPI-based environment
Tianlun Wang (Univ. of Tsukuba), Yusuke Tanimura, Hidemoto Nakada (AIST) CPSY2018-28
Ray is a distributed framework for machine learning that targets reinforcement learning using multiple nodes. While it w... [more] CPSY2018-28
pp.205-210
PRMU, BioX 2018-03-18
16:10
Tokyo   Toward image inbetweening using Latent Model
Paulino Cristovao (Univ. of Tsukuba), Yusuke Tanimura, Hidemoto Nakada, Hideki Asoh (AIST) BioX2017-49 PRMU2017-185
Image interpolation is a well known problem in computer vision. Many approaches are restricted to optical flow and convo... [more] BioX2017-49 PRMU2017-185
pp.79-84
PRMU, BioX 2018-03-18
17:10
Tokyo   A Style Transfer Method using Variational Autoencoder
Hidemoto Nakada, Hideki Asoh (AIST) BioX2017-56 PRMU2017-192
Image Style Transfer is a technique to render arbitrary image content with
arbitrary image 'style'.
Most existing... [more]
BioX2017-56 PRMU2017-192
pp.121-126
MoNA 2017-12-21
15:20
Tokyo Ochanomizu University Consideration on the Structure of Real-time Video Analysis Framework using Kafka and Spark Streaming
Ayae Ichinose (Ochanomizu Univ.), Atsuko Takefusa (NII), Hidemoto Nakada (AIST), Masato Oguchi (Ochanomizu Univ.) MoNA2017-39
As the use of various sensors and cloud computing technologies has spread, many life-log analysis applications for safet... [more] MoNA2017-39
pp.59-63
MoNA 2017-12-21
15:45
Tokyo Ochanomizu University Consideration of Parallel Data Processing over an Apache Spark, a large-scale data distributed platform
Kasumi Kato (Ocha Univ.), Atsuko Takefusa (NII), Hidemoto Nakada (AIST), Masato Oguchi (Ocha Univ.) MoNA2017-40
The Spread of cameras and sensors and cloud technologies enable us to obtain life logs at ordinary homes and transmit th... [more] MoNA2017-40
pp.65-69
CPSY, DC, IPSJ-ARC
(Joint) [detail]
2017-07-27
17:00
Akita Akita Atorion-Building (Akita) A study on Network Structure and Parameter Exchange Method in large-scale Cluster for Machine Learning
Duo Zhang, Mingxi Li (Univ. of Tsukuba), Yusuke Tanimura, Hidemoto Nakada (AIST) CPSY2017-29
For modern machine learning systems, including deep learning systems, parallelization is inevitable since they are requi... [more] CPSY2017-29
pp.145-150
NC, NLP
(Joint)
2017-01-27
13:50
Fukuoka Kitakyushu Foundation for the Advanement of Ind. Sci. and Tech. Toward Context-Dependent Robust Character Recognition using Large-scale Restricted Bayesian Network
Hidemoto Nakada, Yuuji Ichisugi (AIST) NC2016-59
We have been proposing a computational model of the cerebral cortex called BESOM,
that models the cerebral cortex as r... [more]
NC2016-59
pp.65-70
DE, CEA 2016-12-01
15:55
Tokyo   A Spark SQL Extension to utilize MLlib from SQL
Hidemoto Nakada, Hirotaka Ogawa (AIST) DE2016-30
 [more] DE2016-30
pp.51-56
CPSY, DC, IPSJ-ARC
(Joint) [detail]
2016-08-08
17:30
Nagano Kissei-Bunka-Hall (Matsumoto) Toward improving I/O performance of Spark RDD
Kaihui Zhang (Tsukuba Univ.), Yusuke Tanimura, Hidemoto Nakada, Hirotaka Ogawa (AIST) CPSY2016-16
 [more] CPSY2016-16
pp.77-82
CPSY, DC, IPSJ-ARC
(Joint) [detail]
2016-08-09
11:15
Nagano Kissei-Bunka-Hall (Matsumoto) A simulation study on fault tolerancy of parallel machine learning systems with parameter servers
Mingxi Li (Univ. of Tsukuba), Yusuke Tanimura, Hidemoto Nakada (AIST) CPSY2016-20 DC2016-17
Parallel computation is essential for machine learning systems to be more faster.
There are two techniques to build par... [more]
CPSY2016-20 DC2016-17
pp.125-130(CPSY), pp.1-6(DC)
VLD, CPSY, RECONF, IPSJ-SLDM, IPSJ-ARC [detail] 2016-01-19
13:55
Kanagawa Hiyoshi Campus, Keio University GPGPU Parallelization of a cerebral cortex model BESOM
Hidemoto Nakada, Tatsuhiko Inoue, Yuji Ichisugi (AIST) VLD2015-82 CPSY2015-114 RECONF2015-64
 [more] VLD2015-82 CPSY2015-114 RECONF2015-64
pp.31-36
DE 2015-09-25
10:30
Kanagawa   Performance Evaluation of Load Balancing between Sensors and a Cloud for a Real Time Video Streaming Analysis Application Framework
Yuko Kurosaki (Ochanomizu Univ.), Atsuko Takefusa, Hidemoto Nakada (AIST), Masato Oguchi (Ochanomizu Univ.) DE2015-24
(To be available after the conference date) [more] DE2015-24
pp.23-28
CPSY, DC, IPSJ-ARC
(Joint) [detail]
2015-08-05
17:00
Oita B-Con Plaza (Beppu) An Implementation of the Master-Worker based Parameter Server and its Application to BESOM
Meigi Rei (U of Tsukuba), Yusuke Tanimura, Yuuji Ichisugi, Hidemoto Nakada (AIST) CPSY2015-33
We have been proposing a computational model of the cerebral cortex called BESOM. BESOMmodels the cerebral cortex as Bay... [more] CPSY2015-33
pp.179-184
 Results 1 - 20 of 37  /  [Next]  
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