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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 21 - 40 of 92 [Previous]  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
MI, IE, SIP, BioX, ITE-IST, ITE-ME [detail] 2020-05-28
10:50
Online Online [Special Talk] High-dimensional Signal Restoration by Convolutional Networks Driving Fusion Across Multiple Disciplines -- Sparse Modeling and Convolutional Dictionary Learning --
Shogo Muramatsu (Niigata Univ.)
This talk outlines a restoration process of high-dimensional signals such as image and volumetric data. With the develop... [more]
ET 2020-03-07
11:00
Kagawa National Institute of Technology, Kagawa Collage
(Cancelled but technical report was issued)
e-Learning System for Programming Exercise
Tanyakorndilok Tanyakorndilok, Akiyoshi Miyatake, Manabu Sasayama (NIT, Kagawa College) ET2019-98
We develop an e-learning system that supports programming exercise on the Web. In class, the rate of progression varies ... [more] ET2019-98
pp.127-130
KBSE 2020-03-07
13:30
Okinawa Tenbusu-Naha
(Cancelled but technical report was issued)
Research for improving the accuracy of program fault detection by CNN-BI system
Kazuhiko Ogawa, Takako Nakatani (OUJ) KBSE2019-58
Many researchers have done much research to improve software quality.One way to improve the quality of a program is to i... [more] KBSE2019-58
pp.73-78
RCS, SR, SRW
(Joint)
2020-03-05
10:30
Tokyo Tokyo Institute of Technology
(Cancelled but technical report was issued)
[Invited Lecture] Recent Advance of Deep Unfolding-based Algorithms for Wireless Communications
Satoshi Takabe (NITech) SR2019-125
In this paper, we briefly review recent progress of deep unfolding that is a promising deep learning technique whose net... [more] SR2019-125
pp.71-78
IN 2020-01-23
14:40
Aichi WINC AICHI e-Travel: Automatical Travel Support Site Generation based on Review Analysis per Travel Style
Naoki Kawamura, Komei Arasawa, Shun Hattori (Muroran Inst. of Tech.) IN2019-67
For traveling and sightseeing, many people often use travel review sites and travel information magazines. Some travel r... [more] IN2019-67
pp.13-18
CS, OCS
(Joint)
2020-01-16
15:20
Oita Beppu Housensou Hotel (Oita Pref.) [Special Invited Talk] Applications of Machine Learning to Nonlinear Compensation and Nonlinear Transmission Technologies in Optical Fiber Communication
Ken Mishina, Daisuke Hisano, Akihiro Maruta (Osaka Univ.) CS2019-91
Machine learning (ML) is expected to be a promising technology to promote innovations in optical communications. A numbe... [more] CS2019-91
pp.17-22
ET 2019-12-07
10:10
Tokyo Tokyo University of Agriculture and Technology Design and development of a motivation maintaining system based on learners' proficiency and learning patterns
Hiroharu Kawashima, Kousuke Mouri, Keiichi Kaneko (TUAT) ET2019-58
Various digital textbook systems provide quiz as the method of review. However, it is difficult for majority of learners... [more] ET2019-58
pp.1-4
RISING
(2nd)
2019-11-27
13:55
Tokyo Fukutake Learning Theater, Hongo Campus, Univ. Tokyo [Poster Presentation] A Study on Interpretation of Review Classification by SVM and DNN
Kosuke Nakamura, Saneyasu Yamaguchi (Kogakuin Univ.)
Deep learning has achieved significant improvement in various tasks such as natural language processing. However, it is ... [more]
OPE, LQE, OCS 2019-11-11
13:55
Tokyo Kikai-Shinko-Kaikan Bldg (Tokyo) [Invited Talk] Report on ECOC2019 -- Optical networks --
Masaki Shiraiwa (NICT) OCS2019-53 OPE2019-91 LQE2019-69
This paper reviews technical trends related to optical network in 45th European Conference on Optical Communication (ECO... [more] OCS2019-53 OPE2019-91 LQE2019-69
pp.9-12
RCS 2019-10-24
16:55
Kanagawa Yokosuka Research Park [Invited Talk] Deep Learning for Physical-Layer 5G Wireless Techniques
Guan Gui (NJUPT) RCS2019-191
The new demands for high-reliability and ultra-high capacity wireless communication have led to extensive research into ... [more] RCS2019-191
pp.71-76
NLC, IPSJ-DC 2019-09-27
17:25
Tokyo Future Corporation Caputuring the correlation between consumers' preferences among different domains from E-commerce review data
Gaia Suzuki, Masanao Ochi, Ichiro Sakata (The Univ. of Tokyo) NLC2019-15
Segmentation is essential for strategical marketing, but it is considered difficult to both divide market needs among di... [more] NLC2019-15
pp.35-40
AP
(2nd)

Overseas Hotel Istana, Kuala Lumpur UNDERSTANDING GREEN RADIO COMMUNICATION NETWORK SYSTEMS IN A POPBL ENVIRONMENT.
Terungwa Stephen Akor, Kamalurafifin bin Subari, Hanifah binti Jambari, Muhammad Khair Noordin, Igogbe Regina Onyilo (Skudai, Johor Bahru)
The aim of this article is to present a POPBL theoretical framework for the teaching, learning and research in Green Rad... [more]
IPSJ-SLDM, RECONF, VLD, CPSY, IPSJ-ARC [detail] 2019-01-30
13:30
Kanagawa Raiosha, Hiyoshi Campus, Keio University A CNN with a Noise Addition for Efficient Implementation on an FPGA
Atsuki Munakata, Shimpei Satou, Hiroki Nakahara (Tokyo Tech) VLD2018-75 CPSY2018-85 RECONF2018-49
This article is a technical report without peer review, and its polished and/or extended version may be published elsewh... [more] VLD2018-75 CPSY2018-85 RECONF2018-49
pp.19-24
ET 2018-12-08
11:25
Niigata Nagaoka University of Technology Utilization of Coding Sequence Data in a Practical Programming Learning System
Masashi Takimoto, Kazuhiro Notomi (KAIT) ET2018-68
It is important to utilize sample programs for programming learning. Not only reading and reviewing programs but also in... [more] ET2018-68
pp.15-20
OCS, OPE, LQE 2018-11-12
14:00
Tokyo Kikai-Shinko-Kaikan Bldg (Tokyo) [Invited Talk] Report on ECOC2018 -- Optical Networks --
Kei Kitamura (NTT) OCS2018-60 OPE2018-89 LQE2018-78
This paper review technical trends related to Optical network in 44th European Conference on Optical Communication (ECOC... [more] OCS2018-60 OPE2018-89 LQE2018-78
pp.7-9
RECONF 2018-09-18
14:50
Fukuoka LINE Fukuoka Cafe Space Data Flow Representation and its Applications to Machine Learning Accelerator
Kazuki Nakada (Tsukuba Univ. of Tech.), Keiji Miura (Kwansei Gakuin Univ.) RECONF2018-32
Researches and development of machine learning accelerators have been rapidly progressing. It is becoming important to r... [more] RECONF2018-32
pp.73-78
ICD 2018-04-19
14:55
Tokyo   [Invited Talk] Low power Deep Learning hardware using emerging analog non-volatile memory
Irina Kataeva (DENSO Corp.)
In recent years, Artificial Intelligence, Deep Learning in particular, has become a hot topic of both research and pract... [more]
SIP, EA, SP, MI
(Joint) [detail]
2018-03-20
10:40
Okinawa   [Invited Talk] Progress of Research on Cross-modal Scene Analysis
Kunio Kashino (NTT) EA2017-166 SIP2017-175 SP2017-149
The problem of scene analysis means to understand, or describe, various external objects or events associated with spati... [more] EA2017-166 SIP2017-175 SP2017-149
p.353
PRMU, BioX 2018-03-19
10:00
Tokyo   Confidence Estimation for English Word Typing by Using a Key-Logger
Takanori Maruichi, Shuji Sakamoto, Olivier Augereau, Koichi Kise (Osaka Prefecture Univ.) BioX2017-61 PRMU2017-197
Reviewing plays an important role in English vocabulary acquisition. However, we tend to overlook the words that were co... [more] BioX2017-61 PRMU2017-197
pp.151-156
ET 2018-01-27
13:45
Hyogo Kobe Univ. A code review support tool for introductory refactoring in a programming exercise -- A Trial Practice by revision of examples with incomplete and redundant code in C language --
Yuki Ue, Hiroyuki Tominaga (Kagawa Univ.) ET2017-83
We have proposed a support system for lectures and exercises in turn about information engineering field. The system mai... [more] ET2017-83
pp.19-24
 Results 21 - 40 of 92 [Previous]  /  [Next]  
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