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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 107  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
MBE, NC
(Joint)
2022-03-04
14:20
Online Online Investigation of machine learning methods for emotion discrimination by using phase synchronization of electroencephalogram
Fumiya Hirooka, Jiro Okuda (Kyoto Sangyo Univ. Grad. Sch.) NC2021-74
This study investigated machine learning methods for emotion discrimination by using phase synchronization of electroenc... [more] NC2021-74
pp.143-148
HCGSYMPO
(2nd)
2021-12-15
- 2021-12-17
Online Online Enhancement of sign language motion classification accuracy by adding finger information using OpenPose
Tsukasa Wakao, Wataru Odagiri, Sato Tatsuya, Yuusuke Kawakita, Hiromitsu Nishimura, Hiroshi Tanaka (KAIT)
As a sign language motion classification method, the direction vector from neck to shoulder, elbow, and wrist was calcul... [more]
SIS, ITE-BCT 2021-10-07
14:25
Online Online Block-wise Transformation with Secret Key for Adversary Robust Defence of SVM model
Ryota Iijima, MaungMaung AprilPyone, Hitoshi Kiya (TMU) SIS2021-13
In this paper, we propose a method for implementing support vector machine (SVM) models that are robust against adversar... [more] SIS2021-13
pp.17-22
WIT, IPSJ-AAC 2021-03-05
16:00
Online Online Research on understanding cleaning behavior using wearable sensors for cooperative behavior navigation
Yuki Takegami, Mutsuo Sano (OIT), Sho Ooi (Rits Univ.), Mayumi Nakagawa, Hiromi Kado, Kyoko Sakai (V-SIEN) WIT2020-33
People with brain injury and with developmental disabilities are not good at communicating with people, have difficulty ... [more] WIT2020-33
pp.20-25
MI, IE, SIP, BioX, ITE-IST, ITE-ME [detail] 2020-05-29
11:20
Online Online Multimodal personal ear authentication using multiple sensor information
Shunji Itani (Kansai Univ.), Shunsuke KIta (ORIST), Yoshinobu Kajikawa (Kansai Univ.) SIP2020-11 BioX2020-11 IE2020-11 MI2020-11
In this paper, we consider personal authentication technology using individual differences of acoustic transfer function... [more] SIP2020-11 BioX2020-11 IE2020-11 MI2020-11
pp.53-54
PRMU, IPSJ-CVIM 2020-03-17
17:05
Kyoto
(Cancelled but technical report was issued)
Experimental Evaluation on Bayes Error Estimation Capability of Kernel Minimum Classification Error Training
Koji Yamada (Doshisha Univ.), Hideyuki Watanabe (ATR), Shigeru Katagiri, Miho Ohsaki (Doshisha Univ.) PRMU2019-100
A pattern classifier incorporating kernel mapping, which is trained by the Kernel Minimum Classification Error (KMCE) tr... [more] PRMU2019-100
pp.237-242
HPB
(2nd)
2020-02-14
16:10
Kanagawa   Performance evaluation of bullying voice judgement system using emotion analysis based on SVM
Takahiro Ueno, Shintaro Mori, Masayoshi Ohashi (Fukuoka Univ.)
Bullying is a serious problem all over the world, and bullying detection is significant to protect victims. In this pape... [more]
ET 2019-11-09
11:05
Hiroshima Hiroshima City University
Shinya Seki, Kazuaki Ando (Kagawa Univ) ET2019-50
NIE (Newspaper in Education) is an educational approach that utilizes newspaper as teaching materials in classes. It is ... [more] ET2019-50
pp.17-20
SANE 2019-11-01
10:20
Overseas KOREA (Jeju) Study on Land Use Classification of PolSAR Data by Using Convolutional Neural Network
Nanako Saito, Masanori Gocho, Hiroyoshi Yamada, Ryoichi Sato, Yoshio Yamaguchi (Niigata Univ.) SANE2019-63
Polarimetric Synthetic Aperture Radar (PolSAR) has been attracting attention in ground target detection and classificati... [more] SANE2019-63
pp.77-82
AP 2019-08-22
11:55
Hokkaido Hokkai-Gakuen Univ. Fundamental Study on Land Use Classification of PolSAR Data by Using Machine Learning
Nanako Saito, Masanori Gocho, Hiroyoshi Yamada, Ryoichi Sato, Yoshio Yamaguchi (Niigata Univ.) AP2019-57
Polarimetric Synthetic Aperture Radar (PolSAR) has been attracting attention in ground target detection and classificati... [more] AP2019-57
pp.55-60
VLD, DC, CPSY, RECONF, CPM, ICD, IE, IPSJ-SLDM, IPSJ-EMB, IPSJ-ARC
(Joint) [detail]
2018-12-05
10:20
Hiroshima Satellite Campus Hiroshima Prototyping of Real-time Computer-Aided Diagnosis System for Colorectal Endoscopic Movies and Images with Machine Learning
Takumi Okamoto, Masayuki Odagawa, Koujiroh Takebayashi, Mikihisa Nagano, Tetsushi Koide, Toru Tamaki, Bisser Raytchev, Kazufumi Kaneda (Hiroshima Univ.), Shigeto Yoshida, Hiroshi Mieno (JR Hiroshima Hospital), Shinji Tanaka (Hiroshima Univ.), Takayuki Sugawara, Hiroshi Toishi, Masayuki Tsuji, Nobuo Tamba (Cadence, Japan) VLD2018-42 DC2018-28
In this paper, we discuss prototyping of real-time computer-aided diagnosis (CAD) system for colorectal endoscopic movie... [more] VLD2018-42 DC2018-28
pp.13-18
IMQ 2018-10-19
14:40
Kyoto Kyoto Institute of Technology Classification Method for Texture Types Based on Texture Analysis Results of HEVC Image Quality in the Shitsukan Research Database
Norifumi Kawabata (Nagoya Univ.) IMQ2018-13
As definition of Shitsukan or Texture, there are many kind of meaning and interpretation. Therefore, there were many stu... [more] IMQ2018-13
pp.13-18
SP 2018-08-27
11:35
Kyoto Kyoto Univ. [Poster Presentation] Discrimination of pharyngeal residue using swallowing sound in dysphagia diagnosis
Tatsunori Uchino, Atsushi Hashizume, Masahisa Katsuno, Tomoki Toda (Nagoya Univ.) SP2018-27
The measurement of pharyngeal residue with X-ray fluoroscopy is widely used as a typical diagnosis method of swallowing ... [more] SP2018-27
pp.23-27
AI 2018-08-27
16:15
Osaka   Abandoned Farmland Mapping Using Satellite Data and Machine Learning, and Abandonment Probability Modeling by Field and Geographical Factors
Yohei Yamaguchi, Takashi Machimura, Takanori Matsui (Osaka Univ.) AI2018-24
Farmland abandonment is quickly increasing in Japan, and it becomes concern on social, economic and environmental issues... [more] AI2018-24
pp.61-66
NC, IBISML, IPSJ-BIO, IPSJ-MPS [detail] 2018-06-13
16:15
Okinawa Okinawa Institute of Science and Technology Enumeration of Distinct Support Vectors for Model Selection
Kentaro Kanamori (Hokaido Univ.), Satoshi Hara (Osaka Univ.), Masakazu Ishihata (NTT), Hiroki Arimura (Hokaido Univ.) IBISML2018-12
In ordinary machine learning problems, the learning algorithm outputs a single model that optimizes its learning objecti... [more] IBISML2018-12
pp.81-88
IMQ 2017-12-15
13:55
Shizuoka Shizuoka University, Hamamatsu Campus A Study of Diagnostic Imaging System for Coded Defect Detection of Certain Viewpoints on Multi-view 3D CG Images
Norifumi Kawabata (Chiba Univ.) IMQ2017-21
At present, in the engineering fields, the medical application for multi-view 3D images and 8K UHDTV images is advanced ... [more] IMQ2017-21
pp.7-12
VLD, DC, CPSY, RECONF, CPM, ICD, IE, IPSJ-SLDM, IPSJ-EMB, IPSJ-ARC
(Joint) [detail]
2017-11-06
14:55
Kumamoto Kumamoto-Kenminkouryukan Parea An Approach to Selection of Classifiers and their Thresholds for Machine Learning Based Fail Chip Prediction
Daichi Yuruki, Satoshi Ohtake (Oita Univ), Yoshiyuki Nakamura (Renesas Electronics) VLD2017-36 DC2017-42
Today, semiconductor technologies have developed and advance the integration density of LSI circuits.
A technique which... [more]
VLD2017-36 DC2017-42
pp.55-60
IMQ, HIP 2017-07-21
15:00
Hokkaido Satellite Campus, Sapporo City University Consideration for Application Procedure between H.265/HEVC and Visible Digital Watermarking on the Multi-view 3D CG Image Quality Evaluation
Norifumi Kawabata (Chiba Univ.) IMQ2017-8 HIP2017-50
In our previous studies, we studied on the multi-view 3D CG image quality evaluation including visible digital watermark... [more] IMQ2017-8 HIP2017-50
pp.15-20
MI 2017-01-18
14:15
Okinawa Tenbusu Naha A Machine Learning Algorithm for the Automatic and Non-invasive Quality Assessment of Confluent Cells
Kazuki Sato (Yamagata Univ.), Hiroto Sasaki, Ryuji Kato (Nagoya Univ.), Tetsuya Yuasa, Siu Kang (Yamagata Univ.) MI2016-98
In the research field of regenerative medicine, non-invasive method of cell quality classification has been expected for... [more] MI2016-98
pp.101-106
IMQ 2016-12-16
14:20
Tokyo Tokyo University of Technology Application of Classification Algorithm for the Image Quality Assessment of Multi-view 3D CG Images and 5K Images by Using S-CIELAB Color Space
Norifumi Kawabata, Masaru Miyao (Nagoya Univ.) IMQ2016-18
Toward the 2020 Tokyo Olympic Games, it is expected that general broadcasting of 4K picture quality will be started. The... [more] IMQ2016-18
pp.13-18
 Results 1 - 20 of 107  /  [Next]  
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