Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
IE, ITS, ITE-MMS, ITE-ME, ITE-AIT [detail] |
2023-02-22 11:00 |
Hokkaido |
Hokkaido Univ. |
Discussion and user study of displaying 360-degree video that follows RoI Yuuki Sawabe (UTokyo), Satoshi Ikehata (NII), Kiyoharu Aizawa (UTokyo) ITS2022-63 IE2022-80 |
Although 360° video images contain information in all directions, the user's viewing angle is limited, resulting in over... [more] |
ITS2022-63 IE2022-80 pp.118-123 |
CCS |
2021-03-29 15:40 |
Online |
Online |
A 3DCNN with Reduced Parameters Using Depthwise Separable Convolution Koki Ito, Hidehiro Nakano, Arata Miyauchi (Tokyo City Univ.) CCS2020-27 |
Convolutional Neural Networks (CNNs) have been used in various fields such as image and speech. In recent years, CNNs ha... [more] |
CCS2020-27 pp.37-41 |
PRMU |
2020-10-09 11:00 |
Online |
Online |
Examination of data preprocessing in functional MRI image analysis using CNN Yuta Hosoi (Niigata Univ.), Takafumi Hayashi (Nihon Univ) PRMU2020-22 |
fuctional MRI(fMRI) has been used in various fields from medicine and neuroscience to psychology andlinguistics since it... [more] |
PRMU2020-22 pp.20-25 |
IA, ICSS |
2019-06-07 11:20 |
Miyagi |
Research Institute for Electrical Communication, Tohoku University |
Development of System to Analyze Aggressive Communication Using Self-Organizing Map and Convolutional Neural Network Akifumi Iwasa, Hikofumi Suzuki, Takumi Uchiyama (Shinshu Univ.), Tetsuya ui (NEC) IA2019-8 ICSS2019-8 |
In recent years, the importance of the Internet is increasing. However, DoS / DDoS attacks is increasing. It is difficul... [more] |
IA2019-8 ICSS2019-8 pp.37-41 |
SANE |
2018-11-08 14:50 |
Overseas |
China (Xuchang) |
A Novel Method Using Convolutional Neural Network for Polarimetric SAR ship detection Kan Jin, Junjun Yin, Jian Yang (Tsinghua Univ.) SANE2018-60 |
This paper presents a novel approach for ship detection in polarimetric synthetic aperture radar (POLSAR) image with the... [more] |
SANE2018-60 pp.27-30 |
MBE, NC (Joint) |
2018-03-14 10:50 |
Tokyo |
Kikai-Shinko-Kaikan Bldg. |
An examination about discrimination of imagined individual finger movements using EEG Tetsuro Hayashi, Hiroshi Yokoyama, Carabez Eduardo, Isao Nambu, Yasuhiro Wada (NUT) MBE2017-102 |
The objective of this study is to examine the feasibility of finger discrimination using single-trial electroencephalogr... [more] |
MBE2017-102 pp.109-112 |
PRMU |
2017-10-12 14:30 |
Kumamoto |
|
[Short Paper]
Research of Automatic Scene Segmentation for Video Summary Generation based on Deep Learning Yuki Futami, Masayuki Kashima, Shinya Fukumoto, Kiminori Sato, Mutsumi Watanabe (Kagoshima Univ.) PRMU2017-78 |
Huge amount of video contents are handled routinely.
The video is divided into scenes that consists of semantic cluster... [more] |
PRMU2017-78 pp.91-92 |
PRMU, IBISML, IPSJ-CVIM [detail] |
2017-09-15 15:50 |
Tokyo |
|
Face Image Generation System Using Attribute information with DCGANs Yurika Sagawa, Masafumi Hagiwara (Keio Univ.) PRMU2017-52 IBISML2017-24 |
In this paper, we propose an attribute added face image generation system using Deep Convolutional Generative Adversaria... [more] |
PRMU2017-52 IBISML2017-24 pp.107-112 |
SC |
2017-06-02 13:55 |
Fukushima |
University of Aizu(UBIC 3D) |
Taxonomy Classification By Explicit Semantic Analysis & Deep Machine Learning Kento Hayasaka, Incheon Paik (Univ. of Aizu) SC2017-3 |
Text classification by machine learning is an important and popular research topic. Classification of texts between diff... [more] |
SC2017-3 pp.11-15 |