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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 232  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
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
MI 2020-01-29
10:45
Okinawa OKINAWAKEN SEINENKAIKAN Proposal of Extraction Method of Important Features in Surgical Planning for Mandibular Reconstruction
Kazuki Nagai, Megumi Nakao (Kyoto Univ.), Nobuhiro Ueda (Nara Medical Univ.), Yuichiro Imai (Rakuwakai Otowa Hospital), Tadaaki Kirita (Nara Medical Univ.), Tetsuya Matsuda (Kyoto Univ.) MI2019-70
As implicit medical knowledge and experience are used to perform medical treatment, clarification of decision making is ... [more] MI2019-70
pp.23-28
HCS 2020-01-26
11:40
Oita Room407, J:COM HorutoHall OITA (Oita) Modeling for Infant Vocabulary Acquisition System using Deep Reinforcement Learning
Masaki Taguchi, Yasuhiro Minami (UEC) HCS2019-73
We propose an infant vocabulary acquisition model that identifies psychological infant vocabulary development findings (... [more] HCS2019-73
pp.111-116
IN 2020-01-23
13:50
Aichi WINC AICHI Manga Feature Tag Extraction from Reviews on the Web for e-Book Search
Kazuya Murao, Komei Arasawa, Shun Hattori (Muroran Inst. of Tech.) IN2019-65
In recent years, the digitization of books has progressed, and the number of Web sites for selling e-book comics has inc... [more] IN2019-65
pp.1-6
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