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All Technical Committee Conferences (Searched in: Recent 10 Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| SANE, SAT (Joint) |
2025-03-05 15:40 |
Okinawa | Nago Civic Hall (Primary: On-site, Secondary: Online) |
Pedestrian Detection for Automotive Millimeter Wave Radar in Moving Platform Shunsuke Tanaka, Shouhei Kidera (The University of Electro-Communications)  SANE2024-63 |
This study presents a pedestrian detection approach using 79 GHz millimeter wave (MMW) automotive radar, in assuming mob... [more] | SANE2024-63 pp.47-52 |
| NC, MBE (Joint) |
2025-03-06 16:45 |
Tokyo | (Primary: On-site, Secondary: Online) |
Distributed Sequential Minimal Optimization Algorithm for Support Vector Machines Zhifu Xu, Ryota Yamada, Tsuyoshi Migita, Norikazu Takahashi (Okayama Univ.) NC2024-78 |
Support Vector Machines (SVMs) are widely used for two-class classification problems due to their outstanding classifica... [more] | NC2024-78 pp.91-96 |
| AP, WPT (Joint) |
2025-01-23 09:30 |
Shimane | Rokan, Matsue (Primary: On-site, Secondary: Online) |
Validation of Practicality for CSI Sensing Utilizing Machine Learning Models Tomoya Tanaka, Mizuki Funakoshi, Ryo Yonemoto, Ayumu Yabuki (SoftBank) AP2024-167 |
In this study, we conducted an experimental evaluation to clarify the estimation accuracy of human posture when applying... [more] | AP2024-167 pp.1-5 |
| IBISML | 2024-12-21 15:30 |
Hokkaido | Lecture room 1 (D101), Graduate School of Environmental Science (Primary: On-site, Secondary: Online) |
Distributionally Robust Training Instances Selection with Guaranteed Model Performance Tomonari Tanaka (Nagoya Univ.), Hiroyuki Hanada (RIKEN), Hanting Yang (Nagoya University), Tatsuya Aoyama (Nagoya Univ.), Yu Inatsu (NITech), Satoshi Akahane, Yoshito Okura (Nagoya Univ.), Noriaki Hashimoto (RIKEN), Taro Murayama, Lee Hanju, Shinya Kojima (DENSO), Ichiro Takeuchi (Nagoya Univ./RIKEN) IBISML2024-53 |
In a problem setting where the data distribution differs between the development and operational phases, there exists a ... [more] | IBISML2024-53 pp.151-158 |
| MICT, MI | 2024-12-05 14:50 |
Osaka | Jikei University of Health Care Sciences | A Study on Recognition of Auditory Alarms of Medical Devices Kai Ishida (SIT), Kiyotaka Fujii (Kitasato Univ.) MICT2024-41 MI2024-39 |
There are a lot of auditory alarms that signal sudden changes in patient’s condition and failure of medical devices in c... [more] | MICT2024-41 MI2024-39 pp.47-49 |
| NLP, CAS | 2024-10-17 10:40 |
Tottori | Information Center, Tottori University | Distributed Sequential Minimal Optimization Algorithm for Linear Support Vector Machines Zhifu Xu, Kim Saidi, Tsuyoshi Migita, Norikazu Takahashi (Okayama Univ.) CAS2024-30 NLP2024-60 |
In this report, we propose a distributed Sequential Minimal Optimization (SMO) algorithm for multiple agents communicati... [more] | CAS2024-30 NLP2024-60 pp.16-20 |
| ET | 2024-10-12 15:20 |
Hokkaido | National Insititute of Technology, Hakodate College | Development of a Review Tool for Beginner Sign Language Learners Hiromu Kawaguchi, Kaisei Kameda, Kazuya Sasajima, Yuusuke Kawakita, Hiromitsu Nishimura, Hiroshi Tanaka (KAIT) ET2024-35 |
For sign language learners, it is important to have the sign language motions objectively evaluated in order to improve ... [more] | ET2024-35 pp.55-60 |
| IBISML, NC, IPSJ-BIO, IPSJ-MPS [detail] | 2024-06-20 15:50 |
Okinawa | OIST | Distributionally Robust Safe Sample Screening and Its Application to Infinite-width Deep Neural Networks Tatsuya Aoyama (Nagoya Univ.), Hiroyuki Hanada (RIKEN), Satoshi Akahane, Yoshito Okura, Tomonari Tanaka (Nagoya Univ.), Yu Inatsu (NITech), Noriaki Hashimoto (RIKEN), Taro Murayama, Lee Hanju, Shinya Kojima (DENSO), Ichiro Takeuchi (Nagoya Univ.) NC2024-10 IBISML2024-10 |
In machine learning, handling large datasets has been problematic in computational resources. For this issue, safe sampl... [more] | NC2024-10 IBISML2024-10 pp.67-72 |
| IMQ | 2024-05-24 14:25 |
Aichi | Higashiyama Campus, Nagoya Univ. | Image Quality Assessment and Analysis on Glossy and Painted of 3D CG Objects Based on Material Data Set of the Shitsukan Perception Standard Problem Norifumi Kawabata (Computational Imaging Lab) IMQ2024-2 |
Gloss is one of the component of ``Shitsukan''. Although humans perceive the luster of objects visually and sensuously o... [more] | IMQ2024-2 pp.7-12 |
| 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] | |
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