国際会議Proceedings - 塩谷　浩之

分割表示 >> ／  全件表示  34 件中 1 - 34 件目

  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

  21. Analysis for Adaptability of Policy-Improving System with a Mixture Model of Bayesian Networks to Dynamic Environments

    D. Kitakoshi H. Shioya and R. Nakano，Proceedings of the 9th International Conference on Knowledge-based Intelligent Information&Engineering Systems，Volume 3684巻，Volume 3684号，(頁 730 ～ 737)，Springer，2005年09月，Melbourne (Australia)

  22. A System Improving Reinforcement Learning Agents' Policies with two types of Mixture Models of Bayesian Networks

    D. Kitakoshi, H. Shioya and R. Nakano，Proceedings of 2005 International Conference on Intelligent Technologies and Applied Statistics，ATITAS巻，ATITAS号，(頁 262 ～ 269)，ATITAS，2005年06月，Taipei

  23. An Ensemble-type Algorithm for Phase Retrieval

    H. Shioya, M. Abe, K. Kawahara and K. Gohara，Proceedings of 2005 International Conference on Intelligent Technologies and Applied Statistics，ATITAS巻，ATITAS号，(頁 20 ～ 25)，ATITAS，2005年06月，Taipei

  24. A Study on Mixture Models for Genetic Algorithms

    J. Imai H. Shioya M. Kurihara，Proceedings of SICE Annual Confrence 2003，(頁 2386 ～ 2391)，2003年08月，Fukui

  25. A Reinforcemant Learning System by using a Mixture Model of Bayesian Network

    D. Kitakoshi H. Shioya and M. Kurihara，Proceedings of SICE Annual Confrence 2003，SICE巻，SICE号，(頁 2386 ～ 2391)，SICE，2003年08月，Fukui

  26. Modeling and Analysis of Genetic Algorithms Based on the Viewpoint of Mixture Systems

    J. Imai H. Shioya M. Kurihara，Proceedings of The Third International Conference on Intelligent Technologies，(頁 183 ～ 189)，Science and Techics Publishing House，2002年12月，Hanoi

  27. Analysis of a Method Improving Reinforcement Learning Agents' Policies

    D. Kitakoshi H. Shioya and M. Kurihara，Proceedings of The Third International Conference on Intelligent Technologies，(頁 219 ～ 225)，Science and Techics Publishing House，2002年12月，Hanoi

  28. Pseudo Information Divergences Defined on a Family of

    H. Shioya and T. Da-te，Proceedings of CASYS2001，(頁 13 ～ 18)，CHAOS absl，2001年08月，Belgium

  29. A Treatment of Limit Figures of Quadratic Transformations as One-way Functions in Authentication for Pictures or Documents of Digital Contents

    T. Date T. Yoshikawa and H. Shioya，Proceedings of the Second Congress of Logic Applied to Technology Conference，(頁 12 ～ 14)，2001年01月，San Paulo

  30. A State Unification in Learning Finite State Machines

    H. Shioya K. Ozaki and T. Da-te，Proceedings of world Multiconference on Systemics,，(頁 509 ～ 513)，2000年08月，オーランド

  31. Approximation of Genetic Algorithm Dynamics and

    J. Imai H. Shioya H. Nonaka and T. Da-te，Proceedings of the Artifical Neural Networks in Engineering Conference,，Vol. 10巻，(頁 279 ～ 284)，AMSE Press New York，2000年

  32. A Treatment of Usefulness of Keywords in Fuzzy Requests

    K. Saito H. Shioya and T. Da-te，Proceedings of the Vietnam - Japan bilateral symposium on，(頁 69 ～ 76)，1998年10月，Hanoi

  33. Stochastic Accuracy of Learning from Keyword Data in

    H. Shioya and T. Da-te，Proceedings of the Vietnam - Japan bilateral sympsium on，(頁 86 ～ 91)，1998年10月，Hanoi

  34. Methods for Evaluations of Distance-like Criteria

    H. Shioya and T. Da-te，Proceedingsof 5th Europian Congress on Intelligent Techiniques and，Volume 2巻，(頁 1893 ～ 1896)，1997年，アーヘン

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