NameYAMAGUCHI Nobuhiko
DepartmentDepartment of Information Science and Engineering
Job TitleAssociate Professor Degree Obtained
E-mail
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Detailed Information

Research Field/Keywords for Research Field

  • machine learning, pattern classification, data visualization

Education

  • 1996/03, Graduated
  • 1998/03, Master Course, Completed
  • 2003/03, Doctor Course, Completed

Employment Experience

  • 1998/04 - 1999/07 Technical Staff
  • 2003/04 - 2007/03 Research Associate, Faculty of Science and Engineering, Saga University
  • 2007/04 - 2010/03 Assistant Professor, Information Science, Faculty of Science and Engineering, Saga University
  • 2010/04 - 2015/09 Assistant Professor, Information Science, Graduate School of Science and Engineering, Saga University
  • 2015/10 -  *  Associate Professor, Information Science, Graduate School of Science and Engineering, Saga University

Field of Specialization

  • Theory of informatics, Statistical science, Perceptual information processing, Soft computing

Membership in Academic Societies

  • Japan Society for Fuzzy Theory and Intelligent Informatics

Themes for Ongoing Research

  • Viaualizing stetes in time series using self-organizing mixture models
  • Visualizing States in time series using Generative Topographic Mapping
  • Combining Pairwise Coupling Classifiers Using Individual Logistic Regressions

Research Themes in the Past

  • Combining Pairwise Coupling Classifiers Using Individual Logistic Regressions

Research Topics and Results

  • Baby-Holding Posture Determination System using Pose Estimation 2023/11
  • Bicycle-based collision prevention system using iPhone with LiDAR 2023/11
  • Bicycle-based collision prevention system using pedestrian trajectory prediction 2022/11
  • 深度カメラと姿勢推定を用いた抱っこの不良姿勢検知システム 2022/06
  • 姿勢推定を用いた抱っこの不良検知システム 2022/06
  • Visual inspection based on PCA analysis of higher-order local autocorrelation features 2022/00
  • 深度カメラを用いたトマト葉面積の非破壊推定 2021/09
  • 物体認識を用いた自転車運転時の衝突予測システム 2021/09
  • シミュレーション環境を用いた五指電動義手の模倣学習 2021/09
  • Bimodal Control of a Vision-Based Myoelectric Hand 2021/07
  • Object Searching Robot Controlled by Edge-AI 2021/00
  • Improved Training of CAE-Based Defect Detectors Using Structural Noise 2021/00
  • Bimodal control of a walk-assist robot for a person tracking 2021/00
  • Task assistance with human-augmented hand and its performance analysis 2021/00
  • Vision-based Scene Recognition for Product Search, Proceedings of the 7th International Conference on Electrical, Electronics and Information Engineering(ICEEIE) 2021/00
  • Improvement of Visual Inspection Using Sequences of Monochromatic Light Sources, Proceedings of the 7th International Conference on Electrical, Electronics and Information Engineering(ICEEIE) 2021/00
  • Semi-automatic image generation for neural networks datasets 2021/00
  • Visual inspection of molded plastic parts using higher- order local autocorrelation 2021/00
  • Vision-based object search for autonomous mobile robot 2021/00
  • Model-based reinforcement learning with incomplete data 2020/11
  • Puyo Puyo AI using Monte Carlo tree search 2020/11
  • Direct policy search reinforcement learning based on variational Bayesian inference 2020/11
  • モンテカルロ木探索を用いたぷよぷよAI 2020/10
  • Development of a Practical Tool in Pick-and-Place Tasks for Human Workers 2020/01
  • 深度カメラを用いた多脚歩行ロボットの姿勢制御 2020/00
  • シミュレーション環境を用いたカメラ付き電動義手の強化学習 2020/00
  • Novel Control Scheme for Prosthetic Hands through Spatial Understanding 2020/00
  • Vision-based assistance for myoelectric hand control 2020
  • Recognition of 5-finger motion using EMG signals based on general object recognition 2019/12
  • Prosthetic hand control system based on object matching and tracking 2019/12
  • Estimation of intended operation of prosthetic hands using on-board camera 2019/12
  • Learning course features with Mini 4WD simulator 2019/11
  • Self-position estimation of Mini 4WD AI using digital camera images 2019/11
  • Kernel-based direct policy search reinforcement learning based on variational Bayesian inference 2019/11
  • Development of power assist simulator for evaluating human adaptability 2019/06
  • Development of distributed control system for vision-based myoelectric prothetic hand 2019/00
  • Development of distributed control system for vision-based myoelectric prosthetic hand 2019/00
  • Direct policy search reinforcement learning based on variational Bayesian inference 2018/12
  • Development of an evaluation system for upper limb function using AR technology 2018/07
  • Surface EMG Pattern Recognition Using Long Short-Term Memory Combined with Multilayer Perceptron 2018/07
  • Object Shape Classification Using Spatial Information in Myoelectric Prosthetic Control 2018/03
  • Visualizing States of Time-Series Data by Autoregressive Gaussian Process Dynamical Models 2017/09
  • Time-series data visualization by autoregressive GPDM 2017/07
  • Time-series data visualization by autoregressive GPDM 2017/06
  • ARGPDMを用いた時系列データの状態可視化 2016/09
  • Visualizing States of Time-series data by Autoregressive Gaussian Process Dynamical Models 2016/08
  • ARGPDMを用いた時系列データの状態可視化 2016/08
  • Visualizing State of Time-Series Data by Supervised Gaussian Process Dynamical Models 2015/11
  • Visualizing States of Time-series data by Supervised Gaussian Process Dynamical Models 2015/11
  • 教師あり学習を用いたGPDMによる時系列データの状態の可視化 2015/09
  • 教師あり学習を用いたGTMによる回帰データの可視化 2015/02
  • Visualizing Regression data by Supervised Generative Topographic Mapping 2014/12
  • 潜在変数に依存した長さスケールと分散を用いたGTM 2014/03
  • 教師あり学習を用いたGTMによるデータの可視化 2014/03
  • GTM with Latent Variable Dependent Length-Scale and Variance 2013/12
  • 潜在変数に依存した長さスケールと分散を用いたGTM 2013/09
  • Constructing Generative Topographic Mapping by Variational Bayes with ARD hierarchical prior 2013/07
  • 非定常ガウス過程を用いたGTMにおけるベイズ法 2013/03
  • SOHMMを用いた隠れマルコフモデルの状態可視化 2012/12
  • Variational Bayesian Inference with Automatic Relevance Determination for Generative Topographic Mapping 2012/11
  • 変分ベイズ法を用いたスパースなGTMの構築 2012/09
  • Visualizing states in autoregressive hidden Markov models using generative topographic mapping 2012/05
  • Constructing sparse generative topographic mapping using variational Bayes 2012/03
  • Self-Organizing Hidden Markov Models 2011/03
  • Self-Organizing Hidden Markov Models 2010/11
  • 時系列データの状態変化の可視化 ~日本の景気と佐賀の気候を可視化してみる~ 2010/08
  • GTMを用いた自己回帰隠れマルコフモデルの状態可視化 2010/05
  • Self-Organizing Hidden Markov Models 2010/03
  • Visualizing states in Autoregressive Hidden Markov Models using Generative Topographic Mapping 2009/09
  • Visualization of time series using GTM 2009/07
  • Visualization of time series using GTM 2009/03
  • Visualization of time series data using gtm 2008/09
  • 隠れ変数モデルを用いたECOCの構築 2007/11
  • 隠れ変数モデルを用いたECOCの構築 2007/03
  • Combining Pairwise Coupling Classifiers Using Individual Logistic Regressions 2006/10
  • Pairwise CouplingにおけるIndividual Logistic Regressionを用いた多クラス識別器の構築とその解析 2006/09
  • 2クラス識別器を多クラス識別器に拡張する方法 ~ pairwise coupling を用いた多クラス識別器の構築 ~ 2006/06
  • ILRを用いたpairwise couplingの統合法 2006/03
  • ILRを用いたpairwise couplingの統合法 2006/03
  • WLS-ECOCにおける事後確率の推定誤差を用いたエラー訂正符号の生成法 2006/03
  • 隠れ変数モデルを用いたECOCの構築 2006/03
  • WLS-ECOCにおける事後確率の推定誤差を用いたエラー訂正符号の生成法 2006/02
  • Constructing error-correcting codes based on estimation error of posterior probability for WLS-ECOC 2005/11
  • ILRを用いたpairwise couplingの統合法 2005/09
  • Combining Classification Improvements by Ensemble Processing 2005/08
  • ECOCにおけるエラー訂正符号の生成法 2005/05
  • WLS-ECOCにおける事後確率の推定誤差を用いたエラー訂正符号の生成法 2005/03
  • エラー訂正符号を用いたパターン識別器ECOCについて 2005/03
  • ECOCにおける事後確率の推定誤差を用いたエラー訂正符号の生成法 2005/03
  • Combining classifiers in error correcting output coding 2004/04
  • LS-ECOCにおける符号の生成法 2004/03
  • ECOCにおける事後確率の推定誤差の上界 2003/03
  • エラー訂正符号を用いたパターン識別器の統合法 2003/02
  • Constructing Error Correcting Output Coding Classifiers 2002/11
  • Constructing Error Correcting Output Coding Classifiers based on Weighted Least Squares 2002/09
  • Merging Hidden Units of RBF Networks with Minimizing Change in the Output Function 2001/08
  • A Method for Merging Hidden Units of RBF Networks without Relearning of Sample Patterns 2000/11
  • An Incremental Learning Method using Weighted Magnitude of Interference 2000/10
  • Incremental Learning Methods with Retrieving of Interfered Patterns 1999/11
  • 関数空間上におけるノルムを用いた干渉量の定義と追加学習 1998/06
  • Incremental learning method of grbf with recalling interfered patterns 1997/11
  • 神経回路による干渉を受けるパターンの想起と追加学習 1997/01
  • An incremental learning method with relearning of recalled interfered patterns 1996/09

Books

  • Vision-Based Control for Open-Source Mobile Robots; 2020/00
    ANNOUNCEMENT INFO.; Proceedings of the 4th International Conference on Vocational Education and Training (ICOVET2020), (2020)
    AUTHOR; R. Miyata, Y. He, O. Fukuda, N. Yamaguchi, H. Okumura, A. N. Handayani

Original Articles

  • The Effect of AI Accuracy and Type of Feedback on Human Decision Making; 2024/01
    ANNOUNCEMENT INFO.; Proceedings of 2024 IEEE/SICE International Symposium on System Integration (SII)
    AUTHOR; Nanami Ishizu, Wen Liang Yeoh, Hiroshi Okumura, Nobuhiko Yamaguchi, and Osamu Fukuda
  • Strawberry Packaging Support System Based on Image Recognition; 2024/01
    ANNOUNCEMENT INFO.; Proceedings of 2024 IEEE/SICE International Symposium on System Integration (SII)
    AUTHOR; Yuta Esaki, Osamu Fukuda, Wen Liang Yeoh, Hiroshi Okumura and Nobuhiko Yamaguchi
  • Development of a Perioperative Medication Suspension Decision Algorithm Based on Bayesian Networks; 2024/01
    ANNOUNCEMENT INFO.; Proceedings of 2024 IEEE/SICE International Symposium on System Integration (SII)
    AUTHOR; Shuhei Kawaguchi, Osamu Fukuda, Sakiko Kimura, Wen Liang Yeoh, Nobuhiko Yamaguchi and Hiroshi Okumura
  • A target following robot for navigation assistance for people with visual impairments; 2024/01
    ANNOUNCEMENT INFO.; Proceedings of 2024 IEEE/SICE International Symposium on System Integration (SII)
    AUTHOR; Yui Ogishi, Wen Liang Yeoh, Fisilmi Azizah Rahman, Hiroshi Okumura, Nobuhiko Yamaguchi, and Osamu Fukuda
  • A Co-Thinking Collaborative Manipulator for Solving Combinatorial Optimization Problems,; 2024/01
    ANNOUNCEMENT INFO.; Proceedings of 2024 IEEE/SICE International Symposium on System Integration (SII), 2024.
    AUTHOR; Miharu Kawasaki, Wen Liang Yeoh, Hiroshi Okumura, Nobuhiko Yamaguchi and Osamu Fukuda:
  • Improvement of Myoelectric Hand Using a Vision Sensor; 2024/01
    ANNOUNCEMENT INFO.; Proceedings of 2024 IEEE/SICE International Symposium on System Integration (SII)
    AUTHOR; Nana Fukuta, Wen Liang Yeoh, Hiroshi Okumura, Nobuhiko Yamaguchi, Osamu Fukuda
  • Baby-Holding Posture Determination System using Pose Estimation; 2023/11
    ANNOUNCEMENT INFO.; The Eleventh International Symposium on Computing and Networking
    AUTHOR; Yuki Matsunaga, Koki Nakano, Nobuhiko Yamaguchi, Osamu Fukuda, Hiroshi Okumura, Wen Liang Yeoh, Tamami Sato, Rika Nakano, Asuka Sakamoto
  • Bicycle-based collision prevention system using iPhone with LiDAR; 2023/11
    ANNOUNCEMENT INFO.; The Eleventh International Symposium on Computing and Networking
    AUTHOR; Makoto Eguchi, Nobuhiko Yamaguchi, Osamu Fukuda, Hiroshi Okumura and Wen Liang Yeoh
  • A Co-Thinking Robotic Manipulator for Collaborative Packing of Products; 2023/09
    ANNOUNCEMENT INFO.; 2023 62nd Annual Conference of the Society of Instrument and Control Engineers of Japan
    AUTHOR; Miharu Kawasaki, Wen Liang Yeoh, Nobuhiko Yamaguchi, Hiroshi Okumura, and Osamu Fukuda
  • The Effect of AI Accuracy and Whether the Confidence Scores Were Shown on Decision Making; 2023/09
    ANNOUNCEMENT INFO.; The 74th Joint Conference of Electrical, Electronics and Information Engineers in Kyushu
    AUTHOR; Nanami Ishizu, Osamu Fukuda, Wen Liang Yeoh, Hiroshi Okumura, Nobuhiko Yamaguchi
  • Interactive Visual Inspection of a Rough-Alignment Plastic Part Based on HLAC Features and One-Class SVM; 2023/03
    ANNOUNCEMENT INFO.; , IEEE Access, vol. 11, 19579-19590
    AUTHOR; Taiga Eguchi, Wen Liang Yeoh, Hiroshi Okumura, Nobuhiko Yamaguchi Osamu Fukuda
  • Method for Frequent High Resolution of Optical Sensor Image Acquisition using Satellite-Based SAR Image for Disaster Mitigation; 2023/03
    ANNOUNCEMENT INFO.; IJACSA, 14, 3
    AUTHOR; Kohei Arai, Yushin Nakaoka, Osamu Fukuda, Nobuhiko Yamaguchi, Wen Liang Yeoh, Hiroshi Okumura
  • Application of generative adversarial network: GAN to disaster damage monitoring; 2023
    ANNOUNCEMENT INFO.; SPIESensors + Imaging 2023
    AUTHOR; Yushin Nakaoka, Kohei Arai, Osamu Fukuda, Nobuhiko Yamaguchi, Wen Liang Yeoh, Hiroshi Okumura
  • Bicycle-based collision prevention system using pedestrian trajectory prediction; 2022/11
    ANNOUNCEMENT INFO.; Proceedings of 2022 Tenth International Symposium on Computing and Networking Workshops (CANDARW)
    AUTHOR; Nobuhiko Yamaguchi, Hiroki Tokumaru, Osamu Fukuda, Hiroshi Okumura, Yeoh Wen Liang
  • Visual inspection based on PCA analysis of higher-order local autocorrelation features; 2022/00
    ANNOUNCEMENT INFO.; Proceedings of the 26th International Symposium on Artificial Life and Robotics
    AUTHOR; Taiga Eguchi, Valentin Grave, Osamu Fukuda, Nobuhiko Yamaguchi, Hiroshi Okumura
  • Bimodal Control of a Vision-Based Myoelectric Hand; 2021/07
    ANNOUNCEMENT INFO.; , Vol. 9, pp. 98369-98380
    AUTHOR; Osamu Fukuda, Daisuke Sakaguchi, Yunan He, Nobuhiko Yamaguchi, Hiroshi Okumura
  • Object Searching Robot Controlled by Edge-AI; 2021/00
    ANNOUNCEMENT INFO.; Journal of Information and Communication Engineering (JICE), 7, 2, 455-461
    AUTHOR; Ryosuke MIYATA, Osamu FUKUDA, Hiroshi OKUMURA, Nobuhiko YAMAGUCHI
  • Improved Training of CAE-Based Defect Detectors Using Structural Noise; 2021/00
    ANNOUNCEMENT INFO.; Applied Sciences, MDPI, 11, 24
    AUTHOR; Reina MURAKAMI, Valentin GRAVE, Osamu FUKUDA, Hiroshi OKUMURA, Nobuhiko YAMAGUCHI
  • Bimodal control of a walk-assist robot for a person tracking; 2021/00
    ANNOUNCEMENT INFO.; 
    AUTHOR; Ryosuke MIYATA, Yeoh Wen Liang, Osamu FUKUDA, Nobuhiko YAMAGUCHI, Hiroshi OKUMURA
  • Task assistance with human-augmented hand and its performance analysis; 2021/00
    ANNOUNCEMENT INFO.; Proceedings of the 7th International Conference on Electrical, Electronics and Information Engineering(ICEEIE)
    AUTHOR; Shunji MIYAGAWA, Osamu FUKUDA Nobuhiko YAMAGUCHI and Hiroshi OKUMURA, Anik Nur Handayani
  • Vision-based Scene Recognition for Product Search, Proceedings of the 7th International Conference on Electrical, Electronics and Information Engineering(ICEEIE); 2021/00
    ANNOUNCEMENT INFO.; 
    AUTHOR; Miho TAKAYANAGI, Osamu FUKUDA, Nobuhiko YAMAGUCHI, and Hiroshi OKUMURA, and Anik Nur Handayani
  • Improvement of Visual Inspection Using Sequences of Monochromatic Light Sources, Proceedings of the 7th International Conference on Electrical, Electronics and Information Engineering(ICEEIE); 2021/00
    ANNOUNCEMENT INFO.; Proceedings of the 7th International Conference on Electrical, Electronics and Information Engineering(ICEEIE)
    AUTHOR; Masashi YAMADA, Valentin GRAVE, Osamu FUKUDA, Nobuhiko YAMAGUCHI and Hiroshi Okumura
  • Semi-automatic image generation for neural networks datasets; 2021/00
    ANNOUNCEMENT INFO.; Proceedings of the 7th International Conference on Electrical, Electronics and Information Engineering(ICEEIE)
    AUTHOR; Valentin GRAVE, Osamu FUKUDA, Hiroshi OKUMURA, and Nobuhiko YAMAGUCHI
  • Visual inspection of molded plastic parts using higher- order local autocorrelation; 2021/00
    ANNOUNCEMENT INFO.; 
    AUTHOR; Taiga EGUCHI^M, Valentin GRAVE^D, Osamu FUKUDA, Nobuhiko YAMAGUCHI, and Hiroshi OKUMURA
  • Vision-based object search for autonomous mobile robot; 2021/00
    ANNOUNCEMENT INFO.; Proceedings of the 26th International Symposium on Artificial Life and Robotics
    AUTHOR; Ryosuke MIYATA, Osamu FUKUDA, Nobuhiko YAMAGUCHI, Hiroshi OKUMURA
  • Model-based reinforcement learning with incomplete data; 2020/11
    ANNOUNCEMENT INFO.; Proceedings of the 5th International Workshop on GPU Computing and AI, pp. 168-171, 2020
    AUTHOR; N. Yamaguchi, O. Fukuda, H. Okumura
  • Puyo Puyo AI using Monte Carlo tree search; 2020/11
    ANNOUNCEMENT INFO.; Proceedings of the 11th International Workshop on Advances in Networking and Computing, pp.477-478, (2020)
    AUTHOR; K. Soejima, N. Yamaguchi, O. Fukuda, H. Okumura
  • Direct policy search reinforcement learning based on variational Bayesian inference; 2020/11
    ANNOUNCEMENT INFO.; Journal of Advanced Computational Intelligence and Intelligent Informatics (JACIII), Vol.24, No.6, 2020
    AUTHOR; Nobuhiko Yamaguchi
  • Development of a Practical Tool in Pick-and-Place Tasks for Human Workers; 2020/01
    ANNOUNCEMENT INFO.; International Journal of Advanced Computer Science and Applications, 11, 4
    AUTHOR; Yunan He, Osamu Fukuda, Daisuke Sakaguchi, Nobuhiko Yamaguchi, Hiroshi Okumura, Kohei Arai
  • Vision-Based Robot Hand Using Open Source Software; 2020/00
    ANNOUNCEMENT INFO.; Proceedings of the 4th International Conference on Vocational Education and Training (ICOVET2020), (2020)
    AUTHOR; R. Kubozono, Y. He, O. Fukuda, N. Yamaguchi, H. Okumura, A. N. Handayani
  • Assistive Device for Visual Impaired Person Based on Real Time Object Detection; 2020/00
    ANNOUNCEMENT INFO.; Proceedings of the 4th International Conference on Vocational Education and Training (ICOVET2020), (2020)
    AUTHOR; F. Rahman, Miho Takayanagi, Y. He, O. Fukuda, N. Yamaguchi, H. Okumura
  • Novel Control Scheme for Prosthetic Hands through Spatial Understanding; 2020/00
    ANNOUNCEMENT INFO.; International Journal of Advanced Computer Science and Applications, Volume 11, Issue 10, pp. 719-725
    AUTHOR; Yunan He, Osamu Fukuda, Nobuhiko Yamaguchi, Hiroshi Okumura, Kohei Arai
  • Vision-based assistance for myoelectric hand control; 2020
    ANNOUNCEMENT INFO.; IEEE ACCESS
    AUTHOR; Yunan He, Ryusuke Kubozono, Osamu FUKUDA, Nobuhiko Yamaguchi, Hiroshi, Okumura
  • Recognition of 5-finger motion using EMG signals based on general object recognition; 2019/12
    ANNOUNCEMENT INFO.; The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec) 2019:2P1-P04
    AUTHOR; Daisuke SAKAGUCHI, Yunan He, Osamu Fukuda, Nobuhiko YAMAGUCHI, Hiroshi Okumura
  • Prosthetic hand control system based on object matching and tracking; 2019/12
    ANNOUNCEMENT INFO.; The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec)
    AUTHOR; Yunan He, Osamu Fukuda, Nan BU, Nobuhiko YAMAGUCHI, Hiroshi Okumura
  • Estimation of intended operation of prosthetic hands using on-board camera; 2019/12
    ANNOUNCEMENT INFO.; The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec) 2019:2P1-P05
    AUTHOR; Ryusuke KUBOZONO, Yunan He, Osamu Fukuda, Nobuhiko YAMAGUCHI, Hiroshi Okumura
  • Learning course features with Mini 4WD simulator; 2019/11
    ANNOUNCEMENT INFO.; 
    AUTHOR; 
  • Self-position estimation of Mini 4WD AI using digital camera images; 2019/11
    ANNOUNCEMENT INFO.; Proceedings of International Workshop on Networking, Computing, Systems, and Software (NCSS)
    AUTHOR; Kazuhisa Senju, Nobuhiko Yamaguchi, Hiroshi Wakuya, Suguru Ueda, Osamu Fukuda, Hiroshi Okumura
  • Kernel-based direct policy search reinforcement learning based on variational Bayesian inference; 2019/11
    ANNOUNCEMENT INFO.; Proceedings of 2019 Seventh International Symposium on Computing and Networking Workshops (CANDARW), 184-187
    AUTHOR; Nobuhiko Yamaguchi, Osamu Fukuda, Hiroshi Okumura
  • Development of power assist simulator for evaluating human adaptability; 2019/06
    ANNOUNCEMENT INFO.; The Japanese Journal of Ergonomics, 55(Supplement), S1E1-3-S1E1-3
    AUTHOR; Osamu FUKUDA, Reina MURAKAMI, Nobuhiko YAMAGUCHI, Hiroshi OKUMURA, Satoshi MURAKI
  • Development of distributed control system for vision-based myoelectric prothetic hand; 2019/00
    ANNOUNCEMENT INFO.; IEEE ACCESS
    AUTHOR; YUNAN HE, RYUSEI SHIMA, OSAMU FUKUDA, NAN BU, NOBUHIKO YAMAGUCHI AND HIROSHI OKUMURA
  • Development of distributed control system for vision-based myoelectric prosthetic hand; 2019/00
    ANNOUNCEMENT INFO.; Proceedings of the Twenty-Fourth International Symposium on Artificial Life and Robotics
    AUTHOR; Ryusei Shima, Yunan He, Osamu Fukuda, Nobuhiko Yamaguchi, Hiroshi Okumura
  • Direct policy search reinforcement learning based on variational Bayesian inference; 2018/12
    ANNOUNCEMENT INFO.; Joint 10th International Conference on Soft Computing and Intelligent Systems and 19th International Symposium on Advanced Intelligent Systems (SCIS-ISIS2018), 1021-1026
    AUTHOR; Nobuhiko Yamaguchi, Kazuya Ihara, Osamu Fukuda, Hiroshi Okumura
  • Development of an evaluation system for upper limb function using AR technology; 2018/07
    ANNOUNCEMENT INFO.; Proceedings of the Genetic and Evolutionary Computation Conference Companion, 1835-1840
    AUTHOR; Yunan He, Ikushi Sawada, Osamu Fukuda, Ryusei Shima, Nobuhiko Yamaguchi, Hiroshi Okumura
  • Surface EMG Pattern Recognition Using Long Short-Term Memory Combined with Multilayer Perceptron; 2018/07
    ANNOUNCEMENT INFO.; Proceedings of the IEEE International Conference of the IEEE Engineering in Medicine and Biology Society
    AUTHOR; Yunan He, Osamu Fukuda, Nan Bu, Hiroshi Okumura, and Nobuhiko Yamaguchi
  • Object Shape Classification Using Spatial Information in Myoelectric Prosthetic Control; 2018/03
    ANNOUNCEMENT INFO.; International Journal of Computer & Software Engineering, 3
    AUTHOR; Ryusei Shima, Yunan He, Osamu Fukuda, Nan Bu, Hiroshi Okumura and Nobuhiko Yamaguchi
  • Visualizing States of Time-Series Data by Autoregressive Gaussian Process Dynamical Models; 2017/09
    ANNOUNCEMENT INFO.; Journal of Advanced Computational Intelligence and Intelligent Informatics (JACIII), 21, 5, 825-831
    AUTHOR; Nobuhiko Yamaguchi
  • Time-series data visualization by autoregressive GPDM; 2017/07
    ANNOUNCEMENT INFO.; 
    AUTHOR; Nobuhiko Yamaguchi
  • Time-series data visualization by autoregressive GPDM; 2017/06
    ANNOUNCEMENT INFO.; 
    AUTHOR; Nobuhiko Yamaguchi
  • Visualizing States of Time-series data by Autoregressive Gaussian Process Dynamical Models; 2016/08
    ANNOUNCEMENT INFO.; The 8th International Conference on Soft Computing and Intelligent Systems, and the 17th International Symposium on Advanced Intelligent Systems (SCIS-ISIS2016), 972-975
    AUTHOR; 
  • Visualizing State of Time-Series Data by Supervised Gaussian Process Dynamical Models; 2015/11
    ANNOUNCEMENT INFO.; Journal of Advanced Computational Intelligence and Intelligent Informatics (JACIII), 19, 5, 688-698
    AUTHOR; Nobuhiko Yamaguchi
  • Visualizing States of Time-series data by Supervised Gaussian Process Dynamical Models; 2015/11
    ANNOUNCEMENT INFO.; The 16th International Symposium on Advanced Intelligent Systems (ISIS2015), 1020-1030
    AUTHOR; Nobuhiko Yamaguchi
  • 教師あり学習を用いたGTMによる回帰データの可視化; 2015/02
    ANNOUNCEMENT INFO.; , Vol.27, No.1, pp.549-559
    AUTHOR; 
  • Visualizing Regression data by Supervised Generative Topographic Mapping; 2014/12
    ANNOUNCEMENT INFO.; The 7th International Conference on Soft Computing and Intelligent Systems, and the 14th International Symposium on Advanced Intelligent Systems (SCIS-ISIS2014), pp.1120-1125
    AUTHOR; Nobuhiko Yamaguchi
  • 潜在変数に依存した長さスケールと分散を用いたGTM; 2014/03
    ANNOUNCEMENT INFO.; , 26, 1, 501-509
    AUTHOR; 
  • GTM with Latent Variable Dependent Length-Scale and Variance; 2013/12
    ANNOUNCEMENT INFO.; , 532-538
    AUTHOR; Nobuhiko Yamaguchi
  • Constructing Generative Topographic Mapping by Variational Bayes with ARD hierarchical prior; 2013/07
    ANNOUNCEMENT INFO.; Journal of Advanced Computational Intelligence and Intelligent Informatics (JACIII), 17, 4, 473-479
    AUTHOR; Nobuhiko Yamaguchi
  • SOHMMを用いた隠れマルコフモデルの状態可視化; 2012/12
    ANNOUNCEMENT INFO.; , 24, 6, 1106-1118
    AUTHOR; 
  • Variational Bayesian Inference with Automatic Relevance Determination for Generative Topographic Mapping; 2012/11
    ANNOUNCEMENT INFO.; The 6th International Conference on Soft Computing and Intelligent Systems, and the 13th International Symposium on Advanced Intelligent Systems (SCIS-ISIS2012), 2124-2129
    AUTHOR; Nobuhiko Yamaguchi
  • Visualizing states in autoregressive hidden Markov models using generative topographic mapping; 2012/05
    ANNOUNCEMENT INFO.; The 8th International Conference on Natural Computation (ICNC2012), 1, 138-142
    AUTHOR; Nobuhiko Yamaguchi
  • Self-Organizing Hidden Markov Models; 2010/11
    ANNOUNCEMENT INFO.; Neural Information Processing. Models and Applications - 17th International Conference on Neural Information Processing (ICONIP2010), Lecture Notes in Computer Science, 6444, 454-461
    AUTHOR; Nobuhiko Yamaguchi
  • GTMを用いた自己回帰隠れマルコフモデルの状態可視化; 2010/05
    ANNOUNCEMENT INFO.; , J93-D, 5, 632-641
    AUTHOR; 
  • Combining Pairwise Coupling Classifiers Using Individual Logistic Regressions; 2006/10
    ANNOUNCEMENT INFO.; The 13th International Conference on Neural Information Processing (ICONIP 2006), Part II, (Lecture Notes in Computer Science , Vol. 4233), 11-20
    AUTHOR; Nobuhiko Yamaguchi
  • WLS-ECOCにおける事後確率の推定誤差を用いたエラー訂正符号の生成法; 2006/02
    ANNOUNCEMENT INFO.; , J89-D, 2, 371-380
    AUTHOR; 
  • Constructing error-correcting codes based on estimation error of posterior probability for WLS-ECOC; 2005/11
    ANNOUNCEMENT INFO.; The 12th International Conference on NEural Information Processing, 560-563
    AUTHOR; Nobuhiko Yamaguchi
  • Combining Classification Improvements by Ensemble Processing; 2005/08
    ANNOUNCEMENT INFO.; The 3rd ACIS International Conference on Software Engineering Research Management and Applications, 240-246
    AUTHOR; Naohiro Ishii, Eisuke Tsuchiya, Yongguang Bao and Nobuhiko Yamaguchi,
  • Combining classifiers in error correcting output coding; 2004/04
    ANNOUNCEMENT INFO.; Systems and Computers in Japan, 35, 4, 9-18
    AUTHOR; Nobuhiko Yamaguchi, Naohiri Ishii
  • エラー訂正符号を用いたパターン識別器の統合法; 2003/02
    ANNOUNCEMENT INFO.; , J86-DII, 2, 324-332
    AUTHOR; 
  • Constructing Error Correcting Output Coding Classifiers; 2002/11
    ANNOUNCEMENT INFO.; The 9th International Conference on Neural Information Processing (ICONIP), 2635-2639
    AUTHOR; Nobuhiko Yamaguchi, Naohiro Ishii
  • Constructing Error Correcting Output Coding Classifiers based on Weighted Least Squares; 2002/09
    ANNOUNCEMENT INFO.; IASTED International Conference Artificial and Computational Intelligence (ACI), 342-347
    AUTHOR; Nobuhiko Yamaguchi, Naohiro Ishii
  • Merging Hidden Units of RBF Networks with Minimizing Change in the Output Function; 2001/08
    ANNOUNCEMENT INFO.; The 2nd International Conference on Software Engineering, Artificial Intelligence, Networking & Parallel/Distributed Computing (SNPD), 916-920
    AUTHOR; Nobuhiko Yamaguchi, Koichiro Yamauchi and Naohiro Ishii
  • A Method for Merging Hidden Units of RBF Networks without Relearning of Sample Patterns; 2000/11
    ANNOUNCEMENT INFO.; The 7th International Conference on Neural Information Processing (ICONIP), 1105-1107
    AUTHOR; Nobuhiko Yamaguchi, Koichiro Yamauchi and Naohiro Ishii
  • An Incremental Learning Method using Weighted Magnitude of Interference; 2000/10
    ANNOUNCEMENT INFO.; The IEEE International Conference on Industrial Electronics, Control and Instrumentation (IECON), 1189-1194
    AUTHOR; Nobuhiko Yamaguchi, Youichi Minagawa, Koichiro Yamauchi and Naohiro Ishii
  • Incremental Learning Methods with Retrieving of Interfered Patterns; 1999/11
    ANNOUNCEMENT INFO.; IEEE Transactions on Neural Networks, 10, 6, 1351-1365
    AUTHOR; Koichiro Yamauchi, Nobuhiko Yamaguchi and Naohiro Ishii
  • 関数空間上におけるノルムを用いた干渉量の定義と追加学習; 1998/06
    ANNOUNCEMENT INFO.; , 5, 2, 53-64
    AUTHOR; 
  • Incremental learning method of grbf with recalling interfered patterns; 1997/11
    ANNOUNCEMENT INFO.; The 4th International Conference on Neural Information Processing (ICONIP), 859-864
    AUTHOR; Koichiro Yamauchi, Nobuhiko Yamaguchi and Naohiro Ishii
  • 神経回路による干渉を受けるパターンの想起と追加学習; 1997/01
    ANNOUNCEMENT INFO.; , J80-D2, 1, 295-305
    AUTHOR; 
  • An incremental learning method with relearning of recalled interfered patterns; 1996/09
    ANNOUNCEMENT INFO.; 1996 IEEE Signal Processing Society Workshop on Neural Networks for Signal Processing (NNSP'96), 242-252
    AUTHOR; Koichiro Yamauchi, Nobuhiko Yamaguchi and Naohiro Ishii

Material, Commentary, Editorials, Research Report, A Comprehensive Journal Articles

  • 深度カメラと姿勢推定を用いた抱っこの不良姿勢検知システム; 2022/06
    ANNOUNCEMENT INFO.; 
    AUTHOR; 
  • 姿勢推定を用いた抱っこの不良検知システム; 2022/06
    ANNOUNCEMENT INFO.; 
    AUTHOR; 
  • 深度カメラを用いたトマト葉面積の非破壊推定; 2021/09
    ANNOUNCEMENT INFO.; , pp.215-217
    AUTHOR; 
  • 物体認識を用いた自転車運転時の衝突予測システム; 2021/09
    ANNOUNCEMENT INFO.; , pp.211-214
    AUTHOR; 
  • シミュレーション環境を用いた五指電動義手の模倣学習; 2021/09
    ANNOUNCEMENT INFO.; , pp.128-130
    AUTHOR; 
  • ARGPDMを用いた時系列データの状態可視化; 2016/09
    ANNOUNCEMENT INFO.; , 521-526
    AUTHOR; 
  • ARGPDMを用いた時系列データの状態可視化; 2016/08
    ANNOUNCEMENT INFO.; , 521-526
    AUTHOR; 
  • 教師あり学習を用いたGPDMによる時系列データの状態の可視化; 2015/09
    ANNOUNCEMENT INFO.; , 458-463
    AUTHOR; 
  • 教師あり学習を用いたGTMによるデータの可視化; 2014/03
    ANNOUNCEMENT INFO.; , NC2013-97, 53-58
    AUTHOR; 
  • 潜在変数に依存した長さスケールと分散を用いたGTM; 2013/09
    ANNOUNCEMENT INFO.; , 905-910
    AUTHOR; 
  • 非定常ガウス過程を用いたGTMにおけるベイズ法; 2013/03
    ANNOUNCEMENT INFO.; , NC2012-168, 197-201
    AUTHOR; 
  • 変分ベイズ法を用いたスパースなGTMの構築; 2012/09
    ANNOUNCEMENT INFO.; , 791-796
    AUTHOR; Nobuhiko Yamaguchi
  • Constructing sparse generative topographic mapping using variational Bayes; 2012/03
    ANNOUNCEMENT INFO.; 
    AUTHOR; Yamaguchi Nobuhiko
  • Self-Organizing Hidden Markov Models; 2011/03
    ANNOUNCEMENT INFO.; 
    AUTHOR; Yamaguchi Nobuhiko
  • Self-Organizing Hidden Markov Models; 2010/03
    ANNOUNCEMENT INFO.; , NC2009-104, 95-100
    AUTHOR; Nobuhiko Yamaguchi
  • Visualizing states in Autoregressive Hidden Markov Models using Generative Topographic Mapping; 2009/09
    ANNOUNCEMENT INFO.; , 96-97
    AUTHOR; Yamaguchi Nobuhiko
  • Visualization of time series using GTM; 2009/07
    ANNOUNCEMENT INFO.; 
    AUTHOR; Yamaguchi Nobuhiko
  • Visualization of time series using GTM; 2009/03
    ANNOUNCEMENT INFO.; , 189-194
    AUTHOR; Nobuhiko Yamaguchi
  • Visualization of time series data using gtm; 2008/09
    ANNOUNCEMENT INFO.; , 132-133
    AUTHOR; Nobuhiko Yamaguchi
  • 隠れ変数モデルを用いたECOCの構築; 2007/11
    ANNOUNCEMENT INFO.; , NC2007-70, 89-93
    AUTHOR; 
  • 隠れ変数モデルを用いたECOCの構築; 2007/03
    ANNOUNCEMENT INFO.; , NC2006-177, 141-145
    AUTHOR; 
  • Pairwise CouplingにおけるIndividual Logistic Regressionを用いた多クラス識別器の構築とその解析; 2006/09
    ANNOUNCEMENT INFO.; , 54-55
    AUTHOR; 
  • ILRを用いたpairwise couplingの統合法; 2006/03
    ANNOUNCEMENT INFO.; , NC2005-141, 97-101
    AUTHOR; 
  • ILRを用いたpairwise couplingの統合法; 2006/03
    ANNOUNCEMENT INFO.; , 20-21
    AUTHOR; 
  • WLS-ECOCにおける事後確率の推定誤差を用いたエラー訂正符号の生成法; 2006/03
    ANNOUNCEMENT INFO.; , 22-23
    AUTHOR; 
  • 隠れ変数モデルを用いたECOCの構築; 2006/03
    ANNOUNCEMENT INFO.; , 16-17
    AUTHOR; 
  • ILRを用いたpairwise couplingの統合法; 2005/09
    ANNOUNCEMENT INFO.; , 192-193
    AUTHOR; 
  • WLS-ECOCにおける事後確率の推定誤差を用いたエラー訂正符号の生成法; 2005/03
    ANNOUNCEMENT INFO.; , NC2004-220, 159-164
    AUTHOR; 
  • エラー訂正符号を用いたパターン識別器ECOCについて; 2005/03
    ANNOUNCEMENT INFO.; , 26-27
    AUTHOR; 
  • ECOCにおける事後確率の推定誤差を用いたエラー訂正符号の生成法; 2005/03
    ANNOUNCEMENT INFO.; , 28-29
    AUTHOR; 
  • LS-ECOCにおける符号の生成法; 2004/03
    ANNOUNCEMENT INFO.; , NC2003-188, 139-144
    AUTHOR; 
  • ECOCにおける事後確率の推定誤差の上界; 2003/03
    ANNOUNCEMENT INFO.; , NC2002-198, 149-154
    AUTHOR; 

General Lectures

  • モンテカルロ木探索を用いたぷよぷよAI; 2020/10
    ANNOUNCEMENT INFO.; 
    AUTHOR; 
  • 深度カメラを用いた多脚歩行ロボットの姿勢制御; 2020/00
    ANNOUNCEMENT INFO.; 
    AUTHOR; 
  • シミュレーション環境を用いたカメラ付き電動義手の強化学習; 2020/00
    ANNOUNCEMENT INFO.; 
    AUTHOR; 

Other Lectures

  • 2クラス識別器を多クラス識別器に拡張する方法 ~ pairwise coupling を用いた多クラス識別器の構築 ~; 2006/06
    ANNOUNCEMENT INFO.; 
    AUTHOR; 
  • ECOCにおけるエラー訂正符号の生成法; 2005/05
    ANNOUNCEMENT INFO.; 
    AUTHOR; 

Invited Lecture, Special Lecture

  • 時系列データの状態変化の可視化 ~日本の景気と佐賀の気候を可視化してみる~; 2010/08
    ANNOUNCEMENT INFO.; 
    AUTHOR; 


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