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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 105  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
RCS 2023-06-16
10:00
Hokkaido Hokkaido University, and online
(Primary: On-site, Secondary: Online)
A Study on Autoencoder for ICA-Aided MIMO Blind Signal Separation
Arata Kameda, Shinsuke Ibi (Doshisha Univ.), Takumi Takahashi (Osaka Univ.), Hisato Iwai (Doshisha Univ.)
 [more]
IMQ, IE, MVE, CQ
(Joint) [detail]
2023-03-17
10:45
Okinawa Okinawaken Seinenkaikan (Naha-shi)
(Primary: On-site, Secondary: Online)
Wiped-Rate Estimation for Semiconductor Manufacturing Using DNN Based on 3D Body Tracking
Takehiro Nagata (Univ. of Tsukuba), Li-Wei Cheng (NCKU), Hidehiko Shishido (Univ. of Tsukuba), Hyejin Kim, Chanya Mahapun, Naoki Yoshii, Tsuyoshi Moriya (TEL), Itaru Kitahara (Univ. of Tsukuba) IMQ2022-67 IE2022-144 MVE2022-97
This research presents a method to calculate the corresponding wiped rate from upper body wiping movements to determine ... [more] IMQ2022-67 IE2022-144 MVE2022-97
pp.235-240
NC, MBE
(Joint)
2023-03-14
15:25
Tokyo The Univ. of Electro-Communications
(Primary: On-site, Secondary: Online)
A Method of Timbre Synthesis Reflecting Impression Using Conditional-VAE -- Conditioning by Impression and Generating Sound Waveforms --
Takeru Watanabe, Susumu Kuroyanagi (NIT) NC2022-106
In This paper, we aim to propose a method of timbre synthesis based on impressions recalled by humans. We worked on this... [more] NC2022-106
pp.84-89
NC, MBE
(Joint)
2023-03-14
15:50
Tokyo The Univ. of Electro-Communications
(Primary: On-site, Secondary: Online)
Study on the relationship between features of carotid artery blood flow velocity waveforms and arteriosclerosis using autoencoder
Yuki Matsugi, Masatake Akutagawa, Takahiro Emoto, Kazuyoshi Kitaoka (Tokushima Univ.), Hiroyuki Tanaka (Naruto Univ.), Hirotsugu Yamada, Yohsuke Kinouchi (Tokushima Univ.) MBE2022-65
Previous research has revealed that differences in blood flow velocity waveforms appear due to exercise effects and agin... [more] MBE2022-65
pp.33-37
SIS 2023-03-03
13:20
Chiba Chiba Institute of Technology
(Primary: On-site, Secondary: Online)
A study on anomalous signal detection from ELF electromagnetic wave data using autoencoder
Hideo Kohatsu, Akitoshi Itai (Chubu Univ.), Ichi Takumi (NITech), Hiroshi Yasukawa (Aichi Prefectural Univ.) SIS2022-55
It is know that the electromagnetic (EM) wave radiated from the earth's crust is observed before the great earthquake. T... [more] SIS2022-55
pp.81-85
SIS 2023-03-03
14:30
Chiba Chiba Institute of Technology
(Primary: On-site, Secondary: Online)
[Tutorial Lecture] On Semantic Image Processing with Autoencoder
Hiroyuki Tsuji (KAIT) SIS2022-58
Variational Auto Encoder (VAE) has a conceptually well-structured latent space and can realize semantic image manipulati... [more] SIS2022-58
pp.97-102
IT, RCS, SIP 2023-01-25
12:20
Gunma Maebashi Terrsa
(Primary: On-site, Secondary: Online)
A Study on Wireless Autoencoder for Data-Aided Channel Estimation
Yoshinori Ichihashi, Shinsuke Ibi (Doshisha Univ.), Takumi Takahashi (Osaka Univ.), Takanobu Doi, Kazushi Muraoka, Naoto Ishii (NEC), Hisato Iwai (Doshisha Univ.) IT2022-56 SIP2022-107 RCS2022-235
In MIMO (Multiple-Input Multiple-Output) channels, when the channel matrix is obtained by the Data-Aided Channel Estimat... [more] IT2022-56 SIP2022-107 RCS2022-235
pp.154-159
SeMI, SeMI
(Joint)
2023-01-19
14:45
Tokushima Naruto grand hotel
(Primary: On-site, Secondary: Online)
[Short Paper] A Preliminary Study on Environment-Independent Wi-Fi CSI Activity Recognition based on Extended Autoencoder
Yu Sugimoto, Kazuki Miyao, Hamada Rizk, Akira Uchiyama (Osaka Univ.) SeMI2022-79
(To be available after the conference date) [more] SeMI2022-79
pp.34-38
MBE, MICT, IEE-MBE [detail] 2023-01-17
09:50
Saga   Oral Cytology Based on Representation Learning of Visually Salient Cells
Kazuki Matsuo, Eiji Mitate, Tomoya Sakai (Nagasaki Univ.) MICT2022-44 MBE2022-44
We classify microscopically photographed cells for screening tests to find oral cancer in its early stages. Oral cancer ... [more] MICT2022-44 MBE2022-44
pp.7-12
CCS 2022-11-17
14:55
Mie
(Primary: On-site, Secondary: Online)
Improvement of financial machine learning by fine-tuning using multiple time scales
Kazuki Amagai (Ibaraki Univ.), Riku Tanaka (Daiwa Asset Management), Tomoya Suzuki (Ibaraki Univ.) CCS2022-47
In asset management businesses such as operating mutual funds, medium or long-term investments are common in terms of op... [more] CCS2022-47
pp.19-24
SR 2022-11-07
09:55
Fukuoka Fukuoka University
(Primary: On-site, Secondary: Online)
Performance comparisons of OFDM communication system with autoencoder
Takao Touma, Tomohisa Wada (Ryukyu Univ.) SR2022-46
This paper is a follow-up to "A study of OFDM communication system with autoencoder" presented at Technical Committee on... [more] SR2022-46
pp.7-14
PRMU 2022-09-15
10:45
Kanagawa
(Primary: On-site, Secondary: Online)
Effect validation of adversarial auxiliary classifier for video disentanglement
Takeshi Haga, Hiroshi Kera, Kazuhiko Kawamoto (Chiba Univ) PRMU2022-21
The Disentanglement of sequential data such as video requires inductive biases to separate static latent variables from ... [more] PRMU2022-21
pp.67-71
SIP 2022-08-25
13:21
Okinawa Nobumoto Ohama Memorial Hall (Ishigaki Island)
(Primary: On-site, Secondary: Online)
Style Feature Extraction by Contrastive Learning and Mutual Information Constraints
Suguru Yasutomi, Toshihisa Tanaka (TUAT) SIP2022-52
Extracting style features is crucial for analyzing data. This paper proposes a style feature extraction using variationa... [more] SIP2022-52
pp.13-18
SIP 2022-08-26
14:08
Okinawa Nobumoto Ohama Memorial Hall (Ishigaki Island)
(Primary: On-site, Secondary: Online)
Study on Bone-conducted Speech Enhancement Using Vector-quantized Variational Autoencoder and Gammachirp Filterbank Cepstral Coefficients
Quoc-Huy Nguyen, Masashi Unoki (JAIST) SIP2022-71
Bone-conducted (BC) speech potentially avoids the undesired effects on recorded speech due to background noise or reverb... [more] SIP2022-71
pp.109-114
SeMI, IPSJ-DPS, IPSJ-MBL, IPSJ-ITS 2022-05-26
13:45
Okinawa
(Primary: On-site, Secondary: Online)
Unsupervised Learning-based Non-invasive Fetal ECG Signal Quality Assessment
Xintong Shi, Kohei Yamamoto, Tomoaki Ohtsuki (Keio Univ.), Yutaka Matsui, Kazunari Owada (Atom Medical Co., Ltd.) SeMI2022-4
For fetal heart rate (FHR) monitoring, the non-invasive fetal electrocardiogram (FECG) obtained from abdomen surface ele... [more] SeMI2022-4
pp.15-19
SIP, BioX, IE, MI, ITE-IST, ITE-ME [detail] 2022-05-19
09:40
Kumamoto Kumamoto University Kurokami Campus
(Primary: On-site, Secondary: Online)
Variational Autoencoders Conditioned by Contrastive Features as Style-Feature Extractors
Suguru Yasutomi, Toshihisa Tanaka (TUAT) SIP2022-3 BioX2022-3 IE2022-3 MI2022-3
Extracting style features is crucial for investigating the characteristics of data. This paper proposes a variational au... [more] SIP2022-3 BioX2022-3 IE2022-3 MI2022-3
pp.13-18
SR 2022-05-12
10:55
Tokyo NICT Koganei
(Primary: On-site, Secondary: Online)
A study of OFDM communication system with autoencoder
Takao Touma, Tomohisa Wada (Ryukyu Univ.) SR2022-6
Among deep neuralnetworks, autoencoders have the property of matching input and output. Recently, research has been cond... [more] SR2022-6
pp.27-33
EMM 2022-03-08
09:55
Online (Primary: Online, Secondary: On-site)
(Primary: Online, Secondary: On-site)
[Poster Presentation] Study on JPEG Compression Resistant Watermarking Method Trained with Quantized Activation Function
Shingo Yamauchi, Masaki Kawamura (Yamaguchi Univ.) EMM2021-110
We propose a watermarking method that introduces a quantized activation function to acquire robustness against quantizat... [more] EMM2021-110
pp.95-100
MW 2022-03-04
11:10
Online Online Deep-Learning Based Anomaly Detection Method for Microwave Non-destructive Road Monitoring
Takahide Morooka, Shouhei Kidera (Univ. of Electro-Communications) MW2021-134
Microwave radar is promising as large-scale and speedy non-destructive monitoring tool for aging road or tunnel because ... [more] MW2021-134
pp.128-133
MBE, NC
(Joint)
2022-03-02
11:00
Online Online Learning of a stacked autoencoder with regularizers added to the cost function, evaluation of their effectiveness, and clarification of its information compression mechanism
Masumi Ishikawa (Kyutech) NC2021-49
Deep learning has a serious drawback in that the resulting models tend to be a black box, hence hard to understand. A sp... [more] NC2021-49
pp.17-22
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