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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| ITS, IE, ITE-MMS, ITE-ME, ITE-AIT [detail] | 2024-02-20 14:00 |
Hokkaido | Hokkaido Univ. | Fine-tuning Model for Diagnosis of Autism Spectrum Disorder Using fMRI Data Sae Yoshihara, Takuya Kitamura (NITT)  ITS2023-71 IE2023-60 |
In this paper, we propose and evaluate novel classification models generated by fine-tuning a pre-trained image classifi... [more] | ITS2023-71 IE2023-60 pp.135-140 |
| SIS | 2023-12-08 10:10 |
Aichi | Sakurayama Campus, Nagoya City University (Primary: On-site, Secondary: Online) |
Error Resolution of Color Discrimination for Tape Reader Robots using SVM Kenjiro Sato, Jun-ichiro Sugisaka, Shingo Yoshizawa, Yasunari Maeda, Masakiyo Suzuki (KIT) SIS2023-35 |
A course of programming at introduction level using Lego Robots, LegoⓇ MindstormsⓇ EV3, is provided to all sophomores in... [more] | SIS2023-35 pp.61-66 |
| MIKA (3rd) |
2023-10-10 15:35 |
Okinawa | Okinawa Jichikaikan (Primary: On-site, Secondary: Online) |
[Poster Presentation]
A Study on Antenna Beamwidth Estimation Employing Support Vector Machine Hirofumi Suganuma, Tsutomu Mitsui (Anritsu), Takahiro Matsuda (TMU) |
In the millimeter-wave communications, high-gain beams are shaped and steered by the array signal processing to overcome... [more] | |
| MSS, SS | 2023-01-11 15:50 |
Osaka | (Primary: On-site, Secondary: Online) |
Improvement of Composite SVM in HSI Classification Tamura Akito, Kitamura Takuya (NIT) MSS2022-61 SS2022-46 |
In this paper, we propose an improved method of composite support vector machines for hyper-spectral image classificatio... [more] | MSS2022-61 SS2022-46 pp.96-100 |
| MBE, NC (Joint) |
2022-03-03 15:55 |
Online | Online | A study on hit classification by machine learning of Japanese popular music using Spotify Audio Features Kengo Kitamura, Susumu Kuroyanagi (NIT) NC2021-67 |
It is assumed that hit songs have common features with respect to the characteristics of hit songs. Based on this assump... [more] | NC2021-67 pp.112-117 |
| 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 |
| EA, SIP, SP, IPSJ-SLP [detail] | 2022-03-02 15:35 |
Okinawa | (Primary: On-site, Secondary: Online) |
[Poster Presentation]
Effective Features for Detecting Abnormal Braking from Electroencephalogram and Electrocardiogram during Automatic Driving Erika Sekiguchi, Toshihisa Tanaka (TUAT), Ken Kubota (JATCO Engineering), Shun Nakamura (CorLab), Kenichi Makita (JATCO) EA2021-94 SIP2021-121 SP2021-79 |
Although automated driving technology is advancing rapidly, the main objective of the development is to ensure safety. H... [more] | EA2021-94 SIP2021-121 SP2021-79 pp.189-194 |
| EA, SIP, SP, IPSJ-SLP [detail] | 2022-03-02 15:35 |
Okinawa | (Primary: On-site, Secondary: Online) |
[Poster Presentation]
Selective attention to music inducing neural entrainment variation and alpha-band spatial modulation Kana Mizokuchi, Toshihisa Tanaka (TUAT), Takashi G. Sato, Yoshifumi Shiraki (NTT) EA2021-95 SIP2021-122 SP2021-80 |
A human can pay selective attention to music or speech from various sounds. It has been reported that in a speech doma... [more] |
EA2021-95 SIP2021-122 SP2021-80 pp.195-200 |
| SAT, SANE (Joint) |
2022-02-25 13:45 |
Online | Online | A New Approach of Detecting NLOS Signals and Robust Positioning Method in Multipath Environments Tomohiro Ozeki, Nobuaki Kubo (TUMSAT) SAT2021-65 |
Global navigation satellite system (GNSS) positioning has recently gained attention in the autonomous driving, machine c... [more] | SAT2021-65 pp.73-75 |
| NLP | 2021-12-18 13:25 |
Oita | J:COM Horuto Hall OITA | Consideration of a new evaluation criterion based on the Fisher criterion for label estimation of data Ryuhei Motoki, Kenya Jin'no (Tokyo City Univ.) NLP2021-62 |
In supervised learning, training data is labeled. In addition, a large amount of data is required to improve the accurac... [more] | NLP2021-62 pp.86-89 |
| 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 |
| EA, US, SP, SIP, IPSJ-SLP [detail] | 2021-03-04 14:30 |
Online | Online | Estimation of Attentional Direction using EEG during Simultaneous Presentation of Music from Two Sources Kana Mizokuchi, Toshihisa Tanaka (TUAT), Takashi G. Sato, Yoshifumi Shiraki (NTT) EA2020-83 SIP2020-114 SP2020-48 |
People can pay selective attention to music or speech from various sounds. It has been reported that when multiple beat... [more] |
EA2020-83 SIP2020-114 SP2020-48 pp.140-145 |
| MVE, IMQ, IE, CQ (Joint) [detail] |
2021-03-01 11:35 |
Online | Online | Examination of voice input and treatment detection by video analysis for endoscopic findings creation support Chihiro Takigami, Mai Fujie (Chiba Univ.), Yuichiro Yoshimura (Toyama Univ.), Toshiya Nakaguchi (Chiba Univ.) IMQ2020-12 IE2020-52 MVE2020-44 |
Currently, endoscopy findings are mainly recorded by manual entry after the examination, which is burdensome due to the ... [more] | IMQ2020-12 IE2020-52 MVE2020-44 pp.13-16 |
| SeMI | 2021-01-21 13:00 |
Online | Online | Study on UWB indoor localization method using machine learning-based accurate NLOS detection Keigo Ishida, Eiji Okamoto (NIT), Huan-Bang Li (NICT) SeMI2020-50 |
According to the automatization of factory and other facilities, there is a growing demand of accurate indoor location i... [more] | SeMI2020-50 pp.39-44 |
| CCS, NLP | 2020-06-05 15:25 |
Online | Online | Early detection and prevention of combustion oscillations using a symbolic dynamics/machine learning-based approach Kazuki Asami, Shinga Masuda, Hiroshi Gotoda (TUS) NLP2020-19 CCS2020-9 |
We have conducted an experimental study on an early detection and prevention of combustion oscillations in a laboratory-... [more] | NLP2020-19 CCS2020-9 pp.41-44 |
| MI, IE, SIP, BioX, ITE-IST, ITE-ME [detail] | 2020-05-29 10:30 |
Online | Online | Toward Estimation of Attentional Direction Using EEG Signals during Simultaneous Presentation of Two Types of Music Kana Mizokuchi, Toshihisa Tanaka (TUAT), Takashi G. Sato, Yoshifumi Shiraki (NTT) SIP2020-9 BioX2020-9 IE2020-9 MI2020-9 |
People can pay selective attention to music or speech from various sounds.It has been reported that when multiple beat s... [more] | SIP2020-9 BioX2020-9 IE2020-9 MI2020-9 pp.41-46 |
| 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 |
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