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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| ITE-ME, EMM, IE, LOIS, IEE-CMN, IPSJ-AVM [detail] | 2022-09-13 14:20 |
Online | Keio Univ. Yagami Campus (Hybrid) (Primary: Online, Secondary: On-site) |
An investigation of video synchronization for multiple remote audiences participating in a live-streamed event Takayuki Kurozumi, Yuka Serizawa, Keisuke Hasegawa, Shinji Fukatsu (NTT)  LOIS2022-12 IE2022-34 EMM2022-40 |
In recent years, due in part to the Corona Disaster, there has been an increase in the number of opportunities to watch ... [more] | LOIS2022-12 IE2022-34 EMM2022-40 pp.13-18 |
| MVE | 2022-09-09 10:00 |
Tokyo | (Primary: On-site, Secondary: Online) |
Presentation Slide Assessment System using Visual and Semantic Segmentation Features Shengzhou Yi (UTokyo), Junichiro Matsugami (Rubato), Toshihiko Yamasaki (UTokyo) MVE2022-13 |
In this paper, we present a new presentation slide assessment system that can consider structural features of the slides... [more] | MVE2022-13 pp.16-21 |
| SIP | 2022-08-26 11:42 |
Okinawa | Nobumoto Ohama Memorial Hall (Ishigaki Island) (Primary: On-site, Secondary: Online) |
Study on Relationship Between Speakers' Physiological Structure and Acoustic Speech Signals: Data-Driven Study Based on Frequency-Wise Attentional Neural Network Li Kai (JAIST), Xugang Lu (NICT), Masato Akagi, Jianwu Dang (JAIST), Sheng Li (NICT), Unoki Masashi (JAIST) SIP2022-68 |
Quantitatively revealing the relationship between speakers’ physiological structure and acoustic speech signals by consi... [more] | SIP2022-68 pp.97-102 |
| CCS | 2022-03-27 14:50 |
Hokkaido | RUSUTSU RESORT HOTEL & CONVENTION (Primary: On-site, Secondary: Online) |
Examination of neuromorphic circuit architecture consisting of 3D wiring memory devices Naruki Hagiwara, Yoshiki Amemiya, Ali Emiliano Jose, Tetsuya Asai (Hokkaido Univ.), Megumi Akai-Kasaya (Hokkaido Univ./Osaka Univ.) CCS2021-46 |
Analog neural network circuits using non-volatile analog resistance change memory devices have been developed mainly bas... [more] | CCS2021-46 pp.60-65 |
| RCS, SR, SRW (Joint) |
2022-03-04 14:05 |
Online | Online | Extraction of Features for Classification by Machine Learning of Electromagnetic Noise Corresponding to Various Manufacturing Field Environments Michio Miyamoto, Ayano Ohnishi, Yoshio Takeuchi (ATR), Toshiyuki Maeyama (ATR/Takushoku Univ.), Akio Hasegawa, Hiroyuki Yokoyama (ATR) SR2021-118 |
We extract electromagnetic noise from time-series spectrum data measured at the manufacturing site. In this case, it is ... [more] | SR2021-118 pp.139-145 |
| MBE, NC (Joint) |
2022-03-03 09:55 |
Online | Online | Observation for symptom of dementia based on features of Pupil light reflex and participant's age Minoru Nakayama (Tokyo Tech.), Wioletta Nowak, Anna Zarowska (Wroclaw Univ. S&T) MBE2021-93 |
Pupil light reflex (PLR) were observed for elder subjects in order to examine an influence of stage of dimentia which wa... [more] | MBE2021-93 pp.25-30 |
| SANE | 2021-08-27 11:05 |
Online | Online | Satellite Data Fusion for damage assessment and analysis of the significant features Gunjan Joshi, Ryo Natsuaki, Akira Hirose (UT) SANE2021-29 |
Lately, the resolution and detection capabilities of remote sensing satellites specifically, synthetic aperture radars (... [more] | SANE2021-29 pp.37-42 |
| MI | 2021-03-15 13:45 |
Online | Online | Surgical planning model generation by extracting important feature sets in mandibular reconstruction Kazuki Nagai, Megumi Nakao (Kyoto Univ.), Nobuhiro Ueda (Nara Medical Univ.), Yuichiro Imai (Rakuwakai Otowa Hospital), Toshihide Hatanaka, Tadaaki Kirita (Nara Medical Univ.), Tetsuya Matsuda (Kyoto Univ.) MI2020-54 |
Because implicit medical knowledge and experience are used to perform medical treatment, such decisions must be clarifie... [more] | MI2020-54 pp.29-34 |
| MI | 2021-03-15 14:00 |
Online | Online | Analysis of important features in surgical planning for mandibular reconstruction among multiple surgeons Yusuke Hatakeyama, Kazuki Nagai, Megumi Nakao, Tetsuya Matsuda (Kyoto Univ.) MI2020-55 |
Surgeons perform surgical treatment by considering the facilities and policies of medical institutions and their own exp... [more] | MI2020-55 pp.35-40 |
| PRMU, IPSJ-CVIM | 2021-03-04 16:20 |
Online | Online | VQA for Medical Image Data based on Image Feature Extraction and Fusion Hideo Umada, Masaki Aono (TUT) PRMU2020-81 |
In recent years, there has been a remarkable growth in research on deep learning in the fields of computer vision and na... [more] | PRMU2020-81 pp.71-76 |
| PRMU, IPSJ-CVIM | 2021-03-05 16:40 |
Online | Online | A Basic Study on Automated Data Labeling for Machine Learning-based Local Image Features Matcher Haruya Kyutoku, Tokihiko Akita, Seiichi Mita (Toyota Tech. Inst.) PRMU2020-101 |
Recently, local feature extraction and making correspondence methods based on machine learning have been proposed. Howe... [more] |
PRMU2020-101 pp.181-186 |
| BioX, CNR | 2021-03-02 09:30 |
Online | Online | Construction and Evaluation of an Emotion Estimation Model Using EEG and Heart Rate Variability Indices Kei Suzuki, Ryota Matsubara, Midori Sugaya (Shibaura Inst. of Tech.) BioX2020-40 CNR2020-13 |
Urabe et al. have conducted research on human emotion estimation techniques. They constructed an emotion estimation mode... [more] | BioX2020-40 CNR2020-13 pp.1-6 |
| IBISML | 2021-03-02 10:50 |
Online | Online | Kernel tensor decomposition based unsupervised feature extraction
-- Applications to bioinformatics -- Y-h. Taguchi (Chuo Univ.) IBISML2020-36 |
A lot of research has been done on the so-called textit{large p small n} problem, where the number of samples is small c... [more] | IBISML2020-36 pp.16-23 |
| NC, NLP (Joint) |
2021-01-22 10:05 |
Online | Online | Verification of a Visuomotor Integration Model for Grasping the Cups of Different Sizes with a Multi-Fingered Robot Hand Motoi Matsuda, Naohiro Fukumura (Toyohashi Univ. of Tech) NC2020-36 |
Object recognition and object grasping using image recognition methods have been actively researched, but most of them c... [more] | NC2020-36 pp.24-28 |
| IN | 2021-01-19 10:30 |
Online | Online | Jerkiness Detection in Spoken Lines of Interactive Characters Using Text-based Speaker Recognition Kota Mori, Komei Arasawa, Shun Hattori (Muroran Inst. of Tech.) IN2020-50 |
In recent years, social-network games have become more and more popular among young people due to the spread of smartph... [more] |
IN2020-50 pp.38-42 |
| AP | 2020-12-17 13:50 |
Online | Online | A Study on Urban Structure Map Extraction for Radio Propagation Prediction using XGBoost Tatsuya Nagao, Takahiro Hayashi (KDDI Research) AP2020-98 |
Recently, the rapid increase in mobile data traffic and the diversification of wireless communication services have led ... [more] | AP2020-98 pp.13-17 |
| EA, ASJ-H, EMM | 2020-11-20 09:00 |
Online | Online | [Poster Presentation]
Sound detection for laughter by using features based on auditory attributes Soichiro Tanaka (JAIST), Shota Morita (Fukuyama Univ), Masashi Unoki (JAIST) EA2020-24 EMM2020-39 |
This paper proposes a laughter detection method based on auditory attributes to detect special laughter such as a fake l... [more] | EA2020-24 EMM2020-39 pp.15-20 |
| PRMU, IPSJ-CVIM | 2020-03-17 09:45 |
Kyoto | (Cancelled but technical report was issued) |
Rule Extraction from convolutional neural networks
-- Rule Extraction with A Pedagogical Method -- Yuya Sato (Tokyo Denki Univ), Hiroshi Tsukimoto (Tokyo Denki Univ.) PRMU2019-89 |
We presented a decompositional method of rule extraction from convolutional neural networks in the past. However, we fou... [more] | PRMU2019-89 pp.121-126 |
| EMCJ, MICT (Joint) |
2020-03-13 11:00 |
Tokyo | Kikai-Shinko-Kaikan Bldg. (Cancelled but technical report was issued) |
Human motion classification by convolutional neural network using signal strength of WBAN Shintaro Sano, Aoyagi Takahiro (TokyoTech) MICT2019-53 |
In this report, human motion classification by convolutional neural networks (CNNs) using the signal strength of WBANs (W... [more] | MICT2019-53 pp.5-9 |
| SeMI | 2020-01-31 09:25 |
Kagawa | Initial Evaluation of a Compressive Measurement-Based Acoustic Vehicle Detection and Identification System Billy Dawton, Shigemi Ishida, Yuki Hori, Masato Uchino, Yutaka Arakawa, Akira Fukuda (Kyushu Univ.) SeMI2019-116 |
As society becomes increasingly interconnected, the need for sophisticated signal processing and data analysis technique... [more] | SeMI2019-116 pp.69-74 |
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