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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| EA, US (Joint) |
2023-12-23 10:05 |
Fukuoka | Inspection of Fat Content in Frozen Albacore Using Multi-Channel A-Mode Ultrasound Suguru Yasutomi, Akira Sakai (Fujitsu), Masafumi Yagi (Tokai Univ.), Kanata Suzuki (Fujitsu), Hiroki Kashikura, Shuichiro Abe, Kaito Nakamura, Yuya Arai, Yuki Tajima, Keiichi Goto (Tokai Univ.)  US2023-68 |
Albacore is a commercially important fish in Japan. Traditionally, experts determine its value by cutting and ob- servin... [more] | US2023-68 pp.68-73 |
|
| EA, US (Joint) |
2022-12-23 14:30 |
Hiroshima | Satellite Campus Hiroshima | Frozen Tuna Inspection using Ultrasound AI Akira Sakai, Suguru Yasutomi (Fujitsu), Masafumi Yagi, Kazuki Mizuno, Keiichi Goto (Tokai Univ.) US2022-68 |
Ultrasound technology is a widely used non-destructive inspection method. However, there are still few pieces of resea... [more] |
US2022-68 pp.98-103 |
| 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, 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 |
| MI | 2019-01-23 14:00 |
Okinawa | Unsupervised Shadow Detection for Ultrasound Images by Deep Learning Suguru Yasutomi (FLL), Akira Sakai (FATEC), Masaaki Komatsu (Riken), Ryu Matsuoka, Reina Komatsu, Tatsuya Arakaki, Mayumi Tokunaka (Showa-U), Hidenori Machino, Kazuma Kobayashi (NCC), Ken Asada (Riken), Syuzo Kaneko (NCC), Akihiko Sekizawa (Showa-U), Ryuji Hamamoto (Riken) MI2018-96 |
Medical ultrasound is widely used for diagnosing internal organs since it is non-invasive. Shadows are often appear in u... [more] | MI2018-96 pp.151-156 |
|
| EA, SP, SIP | 2016-03-29 09:00 |
Oita | Beppu International Convention Center B-ConPlaza | [Poster Presentation]
Sparse Kernel Regression Based on Nonparametric Bayesian Model Atsushi Kojima, Suguru Yasutomi, Toshihisa Tanaka (TUAT) EA2015-126 SIP2015-175 SP2015-154 |
In general, one of major challenges in regression analysis is how to select an appropriate model. As the number of obser... [more] | EA2015-126 SIP2015-175 SP2015-154 pp.335-340 |
| SIP, EA, SP | 2015-03-03 09:00 |
Okinawa | [Poster Presentation]
An efficient algorithm for convex clustering with l2 regularization for sparsification on probability simplex Suguru Yasutomi, Toshihisa Tanaka (Tokyo Univ. of Agriculture and Tech.) EA2014-96 SIP2014-137 SP2014-159 |
Clustering is one of the important problems in many fields such as engineering and statistics. Convex clustering is a cl... [more] | EA2014-96 SIP2014-137 SP2014-159 pp.127-132 |
|
| CS, CAS, SIP | 2014-03-07 13:25 |
Osaka | Osaka City University Media Center | Parameter estimation for von Mises-Fisher mixture model via Gaussian distribution Suguru Yasutomi, Toshihisa Tanaka (Tokyo Univ. of Agriculture and Tech) CAS2013-129 SIP2013-175 CS2013-142 |
Statistics that deals with direction, such as angles, phases and wind directions is directional statistics. In direction... [more] | CAS2013-129 SIP2013-175 CS2013-142 pp.227-232 |
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