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All Technical Committee Conferences (Searched in: All Years)
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| Search Results: Conference Papers |
| Conference Papers (Available on Advance Programs) (Sort by: Date Descending) |
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| Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
| ME, SIP, TOKAI |
2022-12-07
14:00 |
Aichi |
(Primary: On-site, Secondary: Online) |
Examination of Evaluation Method of Simultaneity in Human Motion
Yuna Hara, Keiji Gyohten, Hidehiro Ohki, Toshiya Takami (Oita Univ) |
In recent years, ICT-based systems have begun to be used in the field of sports. The purpose of this study is to quantif... [more] |
ME2022-92 SIP2022-11
pp.27-30 |
| IEICE-SIP, IEICE-BioX, IEICE-IE, IEICE-MI, IST, ME [detail] |
2022-05-19
09:40 |
Kumamoto |
Kumamoto University
(Primary: On-site, Secondary: Online) |
Variational Autoencoders Conditioned by Contrastive Features as Style-Feature Extractors
Suguru Yasutomi, Toshihisa Tanaka (TUAT) |
Extracting style features is crucial for investigating the characteristics of data. This paper proposes a variational au... [more] |
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| AIT, ME, MMS, IEICE-IE, IEICE-ITS [detail] |
2022-02-21
16:45 |
Online |
online |
A Note on Disentanglement Using Deep Generative Model Based on Variational Autoencoder
-- Introduction of Regularization Losses Based on Metrics of Disentangled Representation --
Nao Nakagawa, Ren Togo, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) |
In this paper, we study disentangled representation learning using a deep generative model based on Variational Autoenco... [more] |
MMS2022-19 ME2022-44 AIT2022-19
pp.97-102 |
| IEICE-SIS, IPSJ-AVM, 3DMT [detail] |
2019-06-13
13:15 |
Nagasaki |
Fukue Culture Center |
Autoencoders having surplus neurons in a hidden layer
Akihiro Suzuki, Hakaru Tamukoh (KYUTECH) |
Unknown data is not compatible with a supervised training. This study employ autoencoders (AEs) to detect unknwon data. ... [more] |
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| ME, IEICE-IE, IEICE-ITS, MMS, HI, AIT [detail] |
2019-02-19
16:00 |
Hokkaido |
Hokkaido Univ. |
A Study on Vectorizing Diet Preferences based on Large Foodlogging Data and DNN model
Yuji Goda (UTokyo), Sosuke Amano (foo.log Inc.), Yoko Yamakata, Kiyoharu Aizawa (UTokyo) |
In usual dietary management, dieticians use the food logs to see one’s wellness. However, this method is not handy for o... [more] |
MMS2019-13 HI2019-13 ME2019-35 AIT2019-13
pp.115-120 |
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