Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
PRMU, IPSJ-CVIM |
2024-05-16 09:45 |
Tokyo |
(Primary: On-site, Secondary: Online) |
Development and evaluation of a video segmentation model using differences between frames Sota Kawamura, Shugo Nakamura, Hirotada Honda, Takashi Sano (Toyo Univ) |
(To be available after the conference date) [more] |
|
NLP |
2024-05-10 10:30 |
Kagawa |
Kagawa Prefecture Social Welfare Center |
Federated Learning Algorithms based on Decentralized Spanning Tree Generation and Step-by-Step Consensus Yuki Mori, Tatsuya Kayatani, Tsuyoshi Migita, Norikazu Takahashi (Okayama Univ.) |
(To be available after the conference date) [more] |
|
NLP |
2024-05-10 11:20 |
Kagawa |
Kagawa Prefecture Social Welfare Center |
Lossless Color Image Compression Based on Colorization by Cellular Neural Networks Shungo Saizuka, Seiya Kushi, Tasuku Kuroda (Chukyo Univ.), Tsuyoshi Otake (Tamagawa Univ.), Hisashi Aomori (Chukyo Univ.) |
(To be available after the conference date) [more] |
|
CCS |
2024-03-27 11:05 |
Hokkaido |
RUSUTSU RESORT |
Implementation of Wireless Spiking Neural Networks with Asynchronous Pulse Code Multiple Access Haruto Ota, Ryuji Nagazawa, Jiaying Lin, Kien Nguyen (Chiba Univ.), Hiroyuki Torikai (Housei Univ.), Mikio Hasegawa (Tokyo Univ. of Science), Woo-Joo Hwang (Pusan National Univ.), Hiroo Sekiya (Chiba Univ.) CCS2023-41 |
(To be available after the conference date) [more] |
CCS2023-41 pp.12-17 |
CCS |
2024-03-27 13:00 |
Hokkaido |
RUSUTSU RESORT |
Training of Encoder-Decoder models and its application towards edge computing Koki Nobori, Hiiro Yamazaki, Kota Ando, Tetsuya Asai (Hokkaido Univ.) CCS2023-42 |
This study investigates the use of the Encoder-Decoder architecture and its application to generative AI for learning on... [more] |
CCS2023-42 pp.18-23 |
CCS |
2024-03-27 14:00 |
Hokkaido |
RUSUTSU RESORT |
Evaluation of recurrent neural network training using multi-phase quantization optimizer Hiiro Yamazaki, Itsuki Akeno, Koki Nobori, Tetsuya Asai, Kota Ando (Hokkaido Univ.) CCS2023-44 |
In this research, we apply "Holmes", an optimizer dedicated to edge training of neural networks, to recurrent neural net... [more] |
CCS2023-44 pp.30-35 |
ICSS, IPSJ-SPT |
2024-03-22 14:55 |
Okinawa |
OIST (Primary: On-site, Secondary: Online) |
Adversarial Examples with Missing Perturbation Using Laser Irradiation Daisuke Kosuge, Hayato Watanabe, Taiga Manabe, Yoshihisa Takayama, Toshihiro Ohigashi (Tokai Univ.) ICSS2023-97 |
In recent years, neural networks have made remarkable progress in the field of image processing and other areas, and the... [more] |
ICSS2023-97 pp.201-207 |
AP |
2024-03-14 10:25 |
Fukui |
UNIVERSITY OF FUKUI (Primary: On-site, Secondary: Online) |
Direction of arrival estimation using neural networks and Uniform Cross Array for LoS-MIMO transmission Motoshi Tawada, Yoshichika Ohta (SoftBank) AP2023-202 |
The feeder link between the fixed ground station and the HAPS requires high capacity to accommodate the traffic of termi... [more] |
AP2023-202 pp.7-10 |
CAS, CS |
2024-03-15 09:45 |
Okinawa |
|
4 wave length division multiplexing visible light communication using neural network Naoki Umezawa, Saeko Oshiba (KIT) CAS2023-126 CS2023-119 |
In this study, we investigated a signal separation method for wavelength division multiplexing visible light wireless co... [more] |
CAS2023-126 CS2023-119 pp.84-87 |
RCC, ISEC, IT, WBS |
2024-03-13 10:45 |
Osaka |
Osaka Univ. (Suita Campus) |
Neural Network-based Compensation of Wideband Nonlinear Distortion for MIMO Transmission with Virtualized Terminal Taishi Watanabe, Takeo Ohseki, Issei Kanno (KDDI Research) IT2023-84 ISEC2023-83 WBS2023-72 RCC2023-66 |
(To be available after the conference date) [more] |
IT2023-84 ISEC2023-83 WBS2023-72 RCC2023-66 pp.60-65 |
RCC, ISEC, IT, WBS |
2024-03-14 15:30 |
Osaka |
Osaka Univ. (Suita Campus) |
Phishing Detection Method Based on Machine Learning Using DNS Graph Yuki Ishida, Syota Nihei, Junko Sato, Atsushi Waseda, Masaki Hanada (Tokyo Univ. of Information Sciences) IT2023-129 ISEC2023-128 WBS2023-117 RCC2023-111 |
Recently, phishing scams have been on the rise, the need for effective defense methods against this phishing scams.
A b... [more] |
IT2023-129 ISEC2023-128 WBS2023-117 RCC2023-111 pp.337-342 |
RCC, ISEC, IT, WBS |
2024-03-14 16:35 |
Osaka |
Osaka Univ. (Suita Campus) |
Construction of an MDL Estimator with Tight Risk Bound in Simple ReLU Networks Yoshinari Takeishi, Jun'ichi Takeuchi (Kyushu Univ.) IT2023-134 ISEC2023-133 WBS2023-122 RCC2023-116 |
We consider the problem of estimating the parameters of the final layer in two-layer neural networks with ReLU activatio... [more] |
IT2023-134 ISEC2023-133 WBS2023-122 RCC2023-116 pp.368-373 |
RCS, SR, SRW (Joint) |
2024-03-13 16:15 |
Tokyo |
The University of Tokyo (Hongo Campus), and online (Primary: On-site, Secondary: Online) |
DOA Estimation Improvement Through Angle-Range-Reduced DNNs Specialized in Narrow DOA Range Daniel Akira Ando, Toshihiko Nishimura, Takanori Sato, Takeo Ohgane, Yasutaka Ogawa (Hokkaido Univ.), Junichiro Hagiwara (Mukogawa Women's Univ.) RCS2023-266 |
In this work, we propose a strategy based on deep neural networks (DNNs) intended to support our past DNN method for dir... [more] |
RCS2023-266 pp.71-76 |
NLP, MSS |
2024-03-14 10:00 |
Misc. |
Kikai-Shinko-Kaikan Bldg. |
Extraction of Traffic Accident High-Risk Areas Using Deep Learning of Map Images and Grad-CAM Kaito Arase, Tsuyoshi Migita, Norikazu Takahashi (Okayama Univ.) MSS2023-86 NLP2023-138 |
An attempt has been made to predict the traffic accident risk of each map tile image at zoom level 17 using a Convolutio... [more] |
MSS2023-86 NLP2023-138 pp.71-76 |
IE, MVE, CQ, IMQ (Joint) [detail] |
2024-03-13 14:50 |
Okinawa |
Okinawa Sangyo Shien Center (Primary: On-site, Secondary: Online) |
Evaluating the Ranking Performance of Transferable Influencer Identification Methods with a Focus on Follower Counts of Influencers Kota Tahara, Sho Tsugawa (UT) CQ2023-76 |
Identifying influencers on social media who can spread information to many other users is one of the important research ... [more] |
CQ2023-76 pp.32-37 |
NLP, MSS |
2024-03-14 15:15 |
Misc. |
Kikai-Shinko-Kaikan Bldg. |
Zero-shot class separation degree of the feature extractor Chisato Takahashi, Kenya Jin'no (Tokyo City Univ.) MSS2023-95 NLP2023-147 |
Network Architecture Search (NAS) is a method to automatically search for the optimal structure of a neural network. Sin... [more] |
MSS2023-95 NLP2023-147 pp.115-118 |
IA, SITE, IPSJ-IOT [detail] |
2024-03-13 14:05 |
Okinawa |
Miyakojima City Future Creation Center (Primary: On-site, Secondary: Online) |
Perceptual Hashing Based on CNN Node Responses Yusei Sugawara, Kaito Hosono, Tetsuya Morizumi, Hirotsugu Kinoshita (Kanagawa Univ.) SITE2023-101 IA2023-107 |
As technology advances, unauthorized duplication of images has become a serious issue related to copyright infringement.... [more] |
SITE2023-101 IA2023-107 pp.203-210 |
NC, MBE (Joint) |
2024-03-11 11:15 |
Tokyo |
The Univ. of Tokyo (Primary: On-site, Secondary: Online) |
Multi reservoir computing for spatiotemporal data mining Daisuke Takeda, Junya Kato, Ryo Natsuaki, Akira Hirose (UT) NC2023-45 |
Recently, advancements in sensor technology, Internet of Things (IoT) devices, high-speed mobile communication, and the ... [more] |
NC2023-45 pp.13-18 |
NC, MBE (Joint) |
2024-03-12 14:45 |
Tokyo |
The Univ. of Tokyo (Primary: On-site, Secondary: Online) |
Visualization of the learning process of ResNet revealing its learning dynamics Ryodo Yuge, Takashi Shinozaki (Kindai Univ.) NC2023-59 |
We visualize the impact of skip connections, a key element in residual networks (ResNet), and visualize its impact on th... [more] |
NC2023-59 p.94 |
NC, MBE (Joint) |
2024-03-11 10:25 |
Tokyo |
The Univ. of Tokyo (Primary: On-site, Secondary: Online) |
Potential of neural network for CT with divided cross sectional image using scattered X-ray Taiki Matsushita, Naohiro Toda (APU) MBE2023-68 |
In the X-ray CT(Computed Tomography) scattered X-rays have been removed by the detector grid. However several author hav... [more] |
MBE2023-68 pp.1-4 |