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

• Estimating Tomato Plant Leaf Area Using Multiple Images from Different Viewing Angles 2024/03
• 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

• Estimating Tomato Plant Leaf Area Using Multiple Images from Different Viewing Angles;　2024/03
  ANNOUNCEMENT INFO.;　Journal of Advanced Computational Intelligence and Intelligent Informatics, vol. 28, no. 2, pp. 352-360, 2024
  AUTHOR;　Nobuhiko Yamaguchi,Hiroshi Okumura,Osamu Fukuda , Wen Liang Yeoh, Munehiro Tanaka
  
• 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;