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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 267  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
MSS, SS 2023-01-11
15:50
Osaka
(Primary: On-site, Secondary: Online)
Improvement of Composite-SVM in Hyperspectral Image 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
IBISML 2020-03-10
15:25
Kyoto Kyoto University
(Cancelled but technical report was issued)
Multi-modal Personal Authentication System Using CNN with Voice and Aerial Signature
Shogo Takaoka, Takeshi Yoshida, Takuya Kitamura (NIT, Toyama College) IBISML2019-38
In this paper, we propose multi-modal personal authentication system using convolution neural network(CNN) with voice an... [more] IBISML2019-38
pp.37-43
NS, IN
(Joint)
2020-03-06
11:00
Okinawa Royal Hotel Okinawa Zanpa-Misaki
(Cancelled but technical report was issued)
To Evaluate the Benefits of Compound Words for Determining if a Test Case is Necessary using Support Vector Machine
Satoshi Sunaga, Kazuhiro Kikuma (NTT), Shota Inokoshi, Koki Sato, Kiyoshi Ueda (Nihon Univ.) NS2019-226
Communication software used for Next Generation Network (NGN) etc.
requires high reliability and therefore adopts many... [more]
NS2019-226
pp.271-276
DC 2020-02-26
10:00
Tokyo   On Machine Learning Based Accuracy Improvement for A Digital Temperature and Voltage Sensor
Masayuki Gondo, Yousuke Miyake, Seiji Kajihara (Kyutech) DC2019-86
To measure an on-chip temperature and voltage during VLSI operation, an RO(Ring Oscillator)-based digital temperature an... [more] DC2019-86
pp.1-6
 Results 1 - 20 of 267  /  [Next]  
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