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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 9 of 9  /   
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
 Results 1 - 9 of 9  /   
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