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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 62  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
AP, SANE, SAT
(Joint)
2021-07-29
12:40
Online Online [Invited Lecture] Radio Propagation Prediction using Geographical Classification by Clustering and Convolutional Neural Network
Tatsuya Nagao, Takahiro Hayashi (KDDI Research) AP2021-36
Beyond 5G is expected to play an essential role in the future social infrastructure, and there is a need for a new syste... [more] AP2021-36
pp.70-75
RCS, SR, NS, SeMI, RCC
(Joint)
2021-07-16
14:30
Online Online Considerations on Accuracy Improvement in Close DOA Estimation with Deep Learning
Yuya Kase, Toshihiko Nishimura, Takeo Ohgane, Yasutaka Ogawa, Takanori Sato (Hokkaido Univ.), Yoshihisa Kishiyama (NTT DOCOMO) RCC2021-39 NS2021-55 RCS2021-97 SR2021-39 SeMI2021-28
In addition to subspace methods such as MUSIC and ESPRIT, recently,
compressed sensing and deep learning have been appl... [more]
RCC2021-39 NS2021-55 RCS2021-97 SR2021-39 SeMI2021-28
pp.77-82(RCC), pp.118-123(NS), pp.98-103(RCS), pp.100-105(SR), pp.76-81(SeMI)
CS, CQ
(Joint)
2021-05-13
11:20
Online On-line Image Size Reduction by Edge Computing for Low Latency Relay Transmission
Weiran Yuan, Kazuki Maruta (Tokyo Tech), Yu Nakayama (TUAT), Daisuke Hisano (Osaka Univ), Kei Sakaguchi (Tokyo Tech) CQ2021-5
Real-time remote monitoring and object recognition using camera images are expected to be one of the important applicati... [more] CQ2021-5
pp.24-28
IN, NS
(Joint)
2021-03-04
11:00
Online Online Application Offloading Mechanism based on Distributed Reinforcement Learning in MEC Environment
Soh Takamura, Takao Kondo, Fumio Teraoka (Keio Univ.) IN2020-67
This paper proposes a mechanism for determining the offloading strategy of an application running on a User Equipment (U... [more] IN2020-67
pp.79-84
HPB
(2nd)
2021-03-03 Online Online An evaluation on incremental addition of new portable device storing positions under realistic usage scenarios
Mitsuaki Saito, Kaori Fujinami (TUAT)
With the spread of portable devices in recent years, work is being actively conducted to recognize the position of the d... [more]
RCS, SR, SRW
(Joint)
2021-03-04
11:35
Online Online [Poster Presentation] A Study on Fading Variation Estimation Employing Deep Learning Based on Level Crossing Rate
Koshiro Kawachi, Yukiko Shimbo, Hirofumi Suganuma, Fumiaki Maehara (Waseda Univ.) RCS2020-233 SR2020-72 SRW2020-62
Fifth-generation (5G) mobile communication systems entail various scenarios such as enhanced mobile broadband (eMBB), ul... [more] RCS2020-233 SR2020-72 SRW2020-62
pp.155-156(RCS), pp.48-49(SR), pp.43-44(SRW)
MVE, IMQ, IE, CQ
(Joint) [detail]
2021-03-01
16:40
Online Online VVC Video Coding with Deep Learning Based Frame Interpolation
Joi Shimizu, Heming Sun, Jiro Katto (Waseda Univ.) IMQ2020-18 IE2020-58 MVE2020-50
Recently, many deep learning based models for frame interpolation have been proposed. In this paper, we propose a novel ... [more] IMQ2020-18 IE2020-58 MVE2020-50
pp.40-45
AI 2021-02-12
16:30
Online Online A Defense Method for Machine Learning Poisoning Attacks in IoT Environments Considering the Removal Priority of Poisonous Data
Tomoki Chiba, Yuichi Sei, Yasuyuki Tahara, Akihiko Ohsuga (UEC) AI2020-36
In recent years, machine learning has been attracting attention for its potential to further enrich people's lives. Howe... [more] AI2020-36
pp.73-78
PRMU 2020-12-17
15:10
Online Online Hierarchical Contrastive Adaptation for Cross-Domain Object Detection
Ziwei Deng, Quan Kong, Naoto Akira, Tomoaki Yoshinaga (Hitachi) PRMU2020-46
Object detection based on deep learning has been enormously developed in recent years. However, applying detectors train... [more] PRMU2020-46
pp.47-52
AI 2020-12-11
10:20
Shizuoka Online and HAMAMATSU ACT CITY
(Primary: On-site, Secondary: Online)
A Preliminary Multi-Agent Reinforcement Learning Approach for Responding Dynamic Traffic in Communication Destination Anonymization
Keita Sugiyama, Naoki Fukuta (Shizuoka Univ.) AI2020-10
In this paper, we describe our prototype mechanism using the simulation-based multi-agent reinforcement learning for aut... [more] AI2020-10
pp.46-51
RCS, AP, UWT
(Joint)
2020-11-25
09:50
Online Online Deep Learning Aided Channel Estimation for Massive MIMO with Pilot Contamination
Hiroki Hirose, Tomoaki Ohtsuki (Keio Univ.) RCS2020-110
In a time division duplex (TDD) based massive multiple-input multiple-output (MIMO) system, a base station (BS) needs ac... [more] RCS2020-110
pp.1-6
MBE, NC, NLP, CAS
(Joint) [detail]
2020-10-30
17:35
Online Online Hyperbolic Space Embedding for Open Set Recognition
Shota Tatarai (Senshu Univ.), Yuta Ashihara (Nihon Univ/Glia Computing Co.,Ltd.), Kenji Aoki (Glia Computing Co.,Ltd.), Masahiko Osaawa (Nihon Univ./Senshu Univ.) NC2020-27
Many of deep learning algorithms perform well when the training and testing data are sampled from the
same class space.... [more]
NC2020-27
pp.100-105
NS 2020-05-15
11:35
Online Online Progressive Slicing : Practical Application Classification System for Application Slicing
Takamitsu Iwai, Akihiro Nakao (UTokyo) NS2020-17
With the proliferation of encrypted traffic and the increasing importance of application-specific QoE management, the ne... [more] NS2020-17
pp.57-62
PRMU, IPSJ-CVIM 2020-03-16
14:40
Kyoto
(Cancelled but technical report was issued)
Egocentric pedestrian motion prediction by separately modeling body pose and position
Donghao Wu, Takuma Yagi, Yusuke Matsui, Yoichi Sato (the Univ. of Tokyo) PRMU2019-72
We study the problem of forecasting human's motion captured from egocentric videos. We propose a novel learning approach... [more] PRMU2019-72
pp.39-44
RCS, SR, SRW
(Joint)
2020-03-05
11:15
Tokyo Tokyo Institute of Technology
(Cancelled but technical report was issued)
An Application of Deep Learning to CoMP Transmission Employing Vehicle Position Information in Taxi Radio Systems
Kazuki Kojima, Yukiko Shimbo, Hirofumi Suganuma, Fumiaki Maehara (Waseda Univ.) RCS2019-355
This report proposes a coordinated multi-point (CoMP) transmission method based on deep learning for taxi radio systems ... [more] RCS2019-355
pp.189-193
RISING
(2nd)
2019-11-26
10:30
Tokyo Fukutake Learning Theater, Hongo Campus, Univ. Tokyo [Poster Presentation] Prioritized Transmission of Mobile IoT Data Using Machine Learning Models
Yuichi Inagaki, Ryoichi Shinkuma, Takehiro Sato, Oki Eiji (Kyoto Univ.)
Predicting real-time spatial information from data collected by the mobile Internet of Things (IoT) devices is one solut... [more]
RISING
(2nd)
2019-11-27
13:55
Tokyo Fukutake Learning Theater, Hongo Campus, Univ. Tokyo [Poster Presentation] Modeling of Utility Function for Real-time Prediction of Spatial Information Using Machine Learning
Keiichiro Sato, Ryoichi Shinkuma, Takehiro Sato, Eiji Oki (Kyoto Univ.), Takahiro Iwai, Takeo Onishi, Takahiro Nobukiyo, Dai Kanetomo, Kozo satoda (System platform Research Labs, NEC Corporation)
Real-time prediction of spatial information has attracted a lot of attention. Machine learning enables us to provide rea... [more]
IA 2019-11-15
11:25
Tokyo Kwansei Gakuin University, Tokyo Marunouchi Campus (Sapia Tower) Sleep Apnea Detection Using Deep Convolutional Neural Network
Hnin Thiri Chaw, Sinchai Kamolphiwong, Krongthong Wongsritrang (PSU) IA2019-39
Sleep apnea is the breathing disorder in which the cessation of the air flow occurs while sleeping. Deep convolutional n... [more] IA2019-39
pp.67-71
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
SeMI, RCS, NS, SR, RCC
(Joint)
2019-07-10
13:50
Osaka I-Site Nanba(Osaka) [Encouragement Talk] Utility-function modeling scheme for real-time prediction of spatial information
Keiichiro Sato, Ryoichi Shinkuma, takehiro Sato, Eiji Oki (Kyoto Univ.), Takahiro Iwai, Takeo Onishi, Takahiro Nobukiyo, Dai Kanetomo, Kozo satoda (System platform Research Labs, NEC Corporation) SeMI2019-21
Real-time prediction of spatial information has attracted a lot of attention.However, due to the strict limitation of ba... [more] SeMI2019-21
pp.19-22
 Results 1 - 20 of 62  /  [Next]  
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