国際会議Proceedings - 塩谷　浩之

1. Age Assessment from Salmon Scale Image Using Continuous Endpoint Connections Based on Resting Zone Structure

   H. Li, J. Zheng, G. Suzuki and S. Hiroyuki，2024 IEEE 13th Global Conference on Consumer Electronics (GCCE)，(頁 1097 ～ 1098)，2024年10月，Osaka

   

2. Time Series Lag Analysis of Indicators in Sewage Treatment Process

   J. Zheng, H. Li, G. Suzuki and S. Hiroyuki，2024 IEEE 13th Global Conference on Consumer Electronics (GCCE)，(頁 390 ～ 391)，2024 IEEE 13th Global Conference on Consumer Electronics (GCCE)，2024年10月，Osaka

   

3. Marker-Less Athletic Posture Detection System Based on Human Pose Estimation via Multi Cameras for Bowling

   Khoo Shao Chuen; Genki Suzuki; Hiroyuki Shioya， 2023 IEEE 12th Global Conference on Consumer Electronics (GCCE)，(頁 99 ～ 100)，2023年10月，Nara Japan

   

4. Abnormal Motion Detection Based on Derivative Dynamic Time Warping Using Motion Data of Bowling-Pitching Posture

   E. Taira, G. Suzuki and S. Hiroyuki，2023 IEEE 12th Global Conference on Consumer Electronics (GCCE)，(頁 413 ～ 414)，2023年10月，Nara Japan

   

5. Development for Evaluation System of Activated Sludge Condition Based on Image Processing

   Keisuke Mikami; Genki Suzuki; Hiroyuki Shioya， 2023 IEEE 12th Global Conference on Consumer Electronics (GCCE)，(頁 348 ～ 349)，2023年10月，Nara Japan

   

6. Detection of Resting Zones Based on PSPNet in Salmon Scale Images

   M. Nishiyama, G. Suzuki and S. Hiroyuki，2022 IEEE 11th Global Conference on Consumer Electronics (GCCE)，(頁 938 ～ 939)，2022年10月，Japan, Osaka

   

7. Predicting the Port-catch Volume of Salmon at Eastern Hokkaido

   Yue Zhang, Hiroyuki Shioya, and Masaaki Wada，North Pacific Anadromous Fish Commission TECHNICAL REPORT，17巻，(頁 142 ～ 143)，North Pacific Anadromous Fish Commission，2021年05月，Virtual workshop (live from Canada, USA, Japan, Korea and Russia)

   

8. Development of Age Determination Technique Part 2; Image Processing for the Age Determination Based on the Annuli of Chum Salmon Scale

   Masanobu Yoshida, Hiroyuki Shioya, Yasuyuki Miyakoshi, Fumi Yamaguchi, and Hirokazu Urabe，Third NPAFC-IYS Virtual Workshop on Linkages between Pacific Salmon Production and Environmental Changes, North Pacific Anadromous Fish Commission Technical Report ，17巻，(頁 150 ～ 152)，North Pacific Anadromous Fish Commission，2021年05月，Virtual workshop (live from Canada, USA, Japan, Korea and Russia)

   

9. Development of Age Determination Technique Part 1: Neural-Network Based Prediction of Chum Salmon Age by Scale Images

   Ryoma Hoson, Hiroyuki Shioya, Yasuyuki Miyakoshi, Fumi Yamaguchi, and Hirokazu Urabe，North Pacific Anadromous Fish Commission TECHNICAL REPORT，17巻，(頁 147 ～ 149)，North Pacific Anadromous Fish Commission，2021年05月，Virtual workshop (live from Canada, USA, Japan, Korea and Russia)

   

10. K-means based object-support construction for phase retrieval

    Hiroyuki Shioya, Katsuya Ichihashi, Ryo Ozawa, Yosuke Maehara, and Kazutoshi Gohara ，Proceedings of The 30th Anniversary of the Optical Society of Korea Optics and Photonics Congress 2019，MP巻，X号，(頁 31)，Optical Society of Korea ，2019年06月，Busan

    

11. Using Hatchery-Release Data of Eastern Hokkaido to Predict Returns of Chum Salmon

    Yosuke Maehara, Hiroyuki Shioya, Kiyoshi Kasugai, Makoto Fujiwara and Yasuyuki Miyakosh，Proceedings of Joint 10th International Conference on Soft Computing and Intelligent Systems and 19th International Symposium on Advanced Intelligent Systems，(頁 1068 ～ 1073)，2018年12月，Toyama

    

12. Sequential on-line construction for ensemble phase-retrieved images

    Katsuya Ichihashi, Hiroyuki Shioya, Daiki Yamamoto, Yosuke Maehara, and Kazutoshi Gohara，2017 International Conference on Biometrics and Kansei Engineering，OS2-4巻，(頁 163 ～ 168)，2017年09月，Kyoto

    

13. Complement Algorithm for Phase Retrieval by the Fourier Intensity with a Missing Region

    Katsuya Ichihashi, Hiroyuki Shioya, Yosuke Maehara, Jun Yamasaki, and Kazutoshi Gohara，The 24th Congress of the International Commission for Optics，P4-36 巻，The Optical Society of America，2017年08月，Tokyo

    

14. A Hybrid Method of CT Algorithms Using Total Variation, Iterative FT and Support Construction

    Wisan Dhammatorn, Hiroyuki Shioya ，A Hybrid Method of CT Algorithms Using Total Variation, Iterative FT and Support Construction，(頁 989 ～ 992)，2016年08月，Sapporo

    

15. An adaptation system to unknown environment by modifying the parameters of profit sharing method and using mixture probability

    Phonnasaku Uthai, Daisuke Kitakoshi, Hiroyuki Shioya，Proceedings of International Workshop on Advanced Computational，CD-ROM巻，CD-ROM号，(頁 CD-ROM ～ )，2011年10月，Suzhou,CHINA

    

16. Phase retrieval based on an evolutionary multicriterion optimisation method

    Shinya Watanabe,Hiroyuki Shioya and Kazutoshi Gohara，Proceedings of World Congress of Computational Intelligence 2010，in press巻，in press号，(頁 in press ～ )，IEEE，2010年07月，Barselona (Spain)

    

17. Noise Tolerance of an On-Line Adaptive Learning System using a Mixture of Bayesian Networks

    D. Kitakoshi H. Shioya and R. Nakano，Proceedings of SCIS&ISIS 2008，CD-ROM 版巻，CD-ROM 版号，(頁 1288 ～ 1292)，Japan SOciety for Fuzzy Theory and intelligent informatics (SOFT)，2008年09月，Nagoya

    

18. Mixture Model based Representation of Information Integration

    Masato Uchida,Hiroyuki Shioya,Yousuke Maehara，Proceedings of SCIS&ISIS 2008，CD-ROM version巻，CD-ROM version号，(頁 1020 ～ 1025)，Japan SOciety for Fuzzy Theory and intelligent informatics (SOFT)，2008年09月，Nagoya

    

19. Design of an Unsupervised Weight Parameter Estimation Method in Ensemble Learning,

    M. Uchida, Y. Maehara and H. Shioya,，Proceedings of 14th International Conference on Neural Information Processing (ICONIP2007)，日本神経回路学会巻，日本神経回路学会号，(頁 253 ～ )，Japanese Neural Network Society，2007年11月，Fukuoka

    

20. Unsupervised Weight Parameter Estimation Method for Ensemble Learning

    M. Uchida, Y. Maehara, H. Shioya and W.T. Huang，Proceedings of SCIS&ISIS 2006，Japan SOciety for Fuzzy Theory and intelligent informatics (SOFT)巻，Japan SOciety for Fuzzy Theory and intelligent informatics (SOFT)号，(頁 416 ～ 421)，Japan SOciety for Fuzzy Theory and intelligent informatics (SOFT)，2006年09月，Tokyo