Updated on 2021/10/25

写真a

 
KUDO, Hiroaki
 
Organization
Graduate School of Informatics Department of Intelligent Systems 2 Associate professor
Graduate School
Graduate School of Information Science
Graduate School of Informatics
Undergraduate School
School of Engineering
School of Informatics Department of Computer Science
Title
Associate professor
Contact information
メールアドレス

Degree 1

  1. Doctor of Engineering ( 1996.3   Nagoya University ) 

Research Interests 3

  1. analysis of human information processing

  2. KANSEI(sensitivity) information processing

  3. percept information processing

Research Areas 3

  1. Informatics / Human interface and interaction  / visual perception, biological signal, measurement

  2. Informatics / Perceptual information processing  / computer vision, computer audition

  3. Informatics / Kansei informatics  / sensitivity Informatics/neural network

Current Research Project and SDGs 3

  1. Study on Visual Information Processing

  2. Study on Computer Vision

  3. Study on Assistance for Handicapped Person

Research History 9

  1. 名古屋大学准教授(大学院情報学研究科)

    2017.4

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    Country:Japan

  2. 名古屋大学准教授(大学院情報科学研究科)

    2007.4 - 2017.3

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    Country:Japan

  3. Associate professor of the Graduate School of Information Science, Nagoya University

    2003.4 - 2007.3

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    Country:Japan

  4. Associate professor of the Graduate School of Engineering, Nagoya University

    2002.9 - 2003.3

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    Country:Japan

  5. Associate professor of the Center for Information Media Studies, Nagoya University

    2000.8 - 2002.8

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    Country:Japan

  6. Assistant professor of the Graduate School of Engineering, Nagoya University

    1999.4 - 2000.7

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    Country:Japan

  7. Research associate of the Graduate School of Engineering, Nagoya University

    1997.4 - 1999.3

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    Country:Japan

  8. Research associate of the School of Engineering, Nagoya University

    1996.4 - 1997.3

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    Country:Japan

  9. Research fellow (DC) of the Japan Society for the Promotion of Science

    1995.4 - 1996.3

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    Country:Japan

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Education 3

  1. Nagoya University   Graduate School, Division of Engineering   Department of Electrical and Electronic Engineering

    - 1996

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    Country: Japan

  2. Nagoya University   Graduate School, Division of Engineering   Department of Electrical and Electronic Engineering

    - 1993

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    Country: Japan

  3. Nagoya University   Faculty of Engineering   Department of Electrical Engineering

    - 1991

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    Country: Japan

Professional Memberships 5

  1. The Institute of Electrical Engineers of Japan   member

    1989.5

  2. The Institute of Image Information and Television Engineers   member

    1992.11

  3. IEEE   member

    1996.6

  4. The Institute of Electronics, Information and Communication Engineers   member

    2001.4

  5. 応用物理学会   会員

    2018.7

Committee Memberships 11

  1. 電子情報通信学会   パターン認識・メディア理解研究専門委員会専門委員  

    2020.6   

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    Committee type:Academic society

  2. 電子情報通信学会   ソサイエティ論文誌編集委員会査読委員  

    2019.6   

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    Committee type:Academic society

  3. 電子情報通信学会   イメージ・メディア・クオリティ研究専門委員会幹事補佐  

    2019.6   

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  4. 電子情報通信学会   ソサイエティ論文誌編集委員会査読委員  

    2018.6 - 2019.6   

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    Committee type:Academic society

  5. 電子情報通信学会   イメージ・メディア・クオリティ研究専門委員会幹事  

    2015.6 - 2019.6   

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    Committee type:Academic society

  6. 電子情報通信学会   英文論文誌A編集委員会英文論文誌編集委員  

    2014.6 - 2018.6   

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    Committee type:Academic society

  7. 電子情報通信学会   イメージ・メディア・クオリティ研究専門委員会幹事補佐  

    2013.5 - 2015.6   

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  8. 電子情報通信学会   イメージ・メディア・クオリティ研究専門委員会専門委員  

    2011.4 - 2013.5   

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  9. 電子情報通信学会   イメージメディアクウォリティ研究専門委員会専門委員  

    2008.4 - 2011.4   

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  10. 電子情報通信学会   ニューロコンピューティング研究専門委員会専門委員  

    2003.4 - 2010.3   

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    Committee type:Academic society

  11. 電子情報通信学会   ニューロコンピューティング研究専門委員会幹事補佐  

    2001.4 - 2003.3   

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Papers 124

  1. Application of artificial neural network to optimize sensor positions for accurate monitoring: an example with thermocouples in a crystal growth furnace Reviewed

    Abderahmane Boucetta,Kenta ro Kutsukake,Tak uto Kojima,Hiroaki Kudo,Tetsuya Matsumoto,Nor itaka Usami

    Applied Physics Express   Vol. 12 ( 12 ) page: 125503   2019.11

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    Language:English   Publishing type:Research paper (scientific journal)  

    DOI: 10.7567/1882-0786/ab52a9

  2. Eye Movement Measurement of Gazing at the Rim of a Column in Stereo Images with Yellow-Blue Equiluminance Random Dots Reviewed

    Shinya MOCHIDUKI, Ayaka NUNOMURA, Hiroaki KUDO, Mitsuho YAMADA

    IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences   Vol. E102-A ( 9 ) page: 1196-1204   2019.9

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    Language:English   Publishing type:Research paper (scientific journal)  

    DOI: 10.1587/transfun.E102.A.1196

  3. 3D visualization and analysis of dislocation clusters in multicrystalline silicon ingot by approach of data science Reviewed

    Yusuke Hayama, Tetsuya Matsumoto, Tetsuro Muramatsu, Kentaro Kutsukake, Hiroaki Kudo, Noritaka Usami

    Solar Energy Materials and Solar Cells   Vol. 189   page: 239-244   2019.1

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    Language:English   Publishing type:Research paper (scientific journal)  

    DOI: 10.1016/j.solmat.2018.06.008

  4. Application of weighted Voronoi diagrams to analyze nucleation sites of multicrystalline silicon ingots Reviewed

    Tetsuro Muramatsu, Yusuke Hayama, Kentaro Kutsukake, Kensaku Maeda, Tetsuya Matsumoto, Hiroaki Kudo, Kozo Fujiwara, Noritaka Usami

    Journal of Crystal Growth   Vol. 499   page: 62-66   2018.10

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    Language:English   Publishing type:Research paper (scientific journal)  

    DOI: 10.1016/j.jcrysgro.2018.07.028

  5. Study on Incongruence between Binocular Images when Gazing at the Rim of a Column with Equiluminance Random Dots Reviewed

    Shinya MOCHIDUKI, Reina WATANABE, Miyuki SUGANUMA, Hiroaki KUDO, Noboru OHNISHI, Mitsuho YAMADA

    IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences   Vol. E101-A ( 6 ) page: 884-891   2018.6

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    Language:English   Publishing type:Research paper (scientific journal)  

    DOI: 10.1587/transfun.E101.A.884

  6. Extraction of Spoken Mathematical Formulas in Slides for Real-Time Captioning Reviewed

    Hironori Kawaguchi, Yoshinori Takeuchi, Tetsuya Matsumoto, Hiroaki Kudo, Noboru Ohnishi

    The IEICE Transactions on Information and Systems (Japanese Edition)   Vol. J97-D ( 5 ) page: 1035-1043   2014.5

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    Language:Japanese   Publishing type:Research paper (scientific journal)  

  7. A Novel Method for Exploring Patch-level Context to Improve Image Categorization Performance Reviewed

    Shuang BAI, Tetsuya MATSUMOTO, Yoshinori TAKEUCHI, Hiroaki KUDO, and Noboru OHNISHI

    IEEJ Transactions on Electronics, Information and Systems C   Vol. 133 ( 12 ) page: 2264-2274   2013.12

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    Language:English   Publishing type:Research paper (scientific journal)  

    DOI: /10.1541/ieejeiss.133.2264

  8. Informative patches sampling for image classification by utilizing bottom-up and top-down information Reviewed

    Shuang BAI, Tetsuya MATSUMOTO, Yoshinori TAKEUCHI, Hiroaki KUDO, and Noboru OHNISHI

    Machine Vision and Applications   Vol. 24   page: 959-970   2013.7

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    Language:English   Publishing type:Research paper (scientific journal)  

    DOI: 10.1007/s00138-012-0473-x

  9. Incorporating Contextual Information into Bag-of-Visual-Words Framework for Effective Object Categorization Reviewed

    Shuang BAI, Tetsuya MATSUMOTO, Yoshinori TAKEUCHI, Hiroaki KUDO, and Noboru OHNISHI

    IEICE Transactions on Information and Systems   Vol. E95-D ( 12 ) page: 3060-3068   2012.12

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    Language:English   Publishing type:Research paper (scientific journal)  

    DOI: 10.1587/transinf.E95.D.3060

  10. Incorporating Top-Down Guidance for Extracting Informative Patches for Image Classification Reviewed

    Shuang BAI, Tetsuya MATSUMOTO, Yoshinori TAKEUCHI, Hiroaki KUDO, and Noboru OHNISHI

    IEICE Transactions on Information and Systems   Vol. E95-D ( 3 ) page: 880-883   2012.3

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    Language:English   Publishing type:Research paper (scientific journal)  

    DOI: 10.1587/transinf.E95.D.880

  11. Detecting Partial Duplications in an Image - The Improvement of Estimating RotationAngle and reversal - Reviewed

    Kei Toimizawa, Tetsuya Matsumoto, Hiroaki Kudo, Yoshinori Takeuchi, Noboru Ohnishi

    IEEJ Trans. EIS   Vol. 131 ( 12 ) page: 2121-2122   2011.12

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    Language:Japanese   Publishing type:Research paper (scientific journal)  

    DOI: 10.1541/ieejeiss.131.2121

  12. Image Transform Based on the Distribution of Representative Colors for Color Deficient Reviewed

    Fukashi Ohata, Hiroaki Kudo, Tetsuya Matsumoto, Yoshinori Takeuchi, Noboru Ohnishi

    IEEJ Trans. EIS   Vol. 130 ( 12 ) page: 2176-2177   2010.12

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    Language:Japanese   Publishing type:Research paper (scientific journal)  

    DOI: 10.1541/ieejeiss.130.2176

  13. Factors of Unpleasantness in Stick-Slip Sounds -Peak Frequency and Envelope- Reviewed

    Hironori Kawaguchi, Tetsuya Matsumoto, Yoshinori Takeuchi, Hiroaki Kudo, Noboru Ohnishi

    IEEJ Trans. EIS   Vol. 130 ( 12 ) page: 2180-2181   2010.12

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    Language:Japanese   Publishing type:Research paper (scientific journal)  

    DOI: 10.1541/ieejeiss.130.2180

  14. Multi-Objective Genetic Programming with Redundancy-Regulations for Automatic Construction of Image Feature Extractors Reviewed

    Ukrit WATCHREERUETAI, Tetsuya MATSUMOTO, Yoshinori TAKEUCHI, Hiroaki KUDO, and Noboru OHNISHI

    IEICE Transactions on Information and Systems   Vol. E93-D ( 9 ) page: 2614-2625   2010.9

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  15. Evaluations of Feature Extraction Programs Synthesized by Redundancy-removed Linear Genetic Programming: A Case Study on the Lawn Weed Detection Problem Reviewed

    Ukrit WATCHREERUETAI, Yoshinori TAKEUCHI, Tetsuya MATSUMOTO, Hiroaki KUDO, and Noboru OHNISHI

    Journal of Information Processing   Vol. 18   page: 164-174   2010.4

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    Language:English   Publishing type:Research paper (scientific journal)  

    DOI: 10.2197/ipsjjip.18.164

  16. Contour Extraction of Overlapped Objects-Refinement of Pairing Vertices and Generating Contours- Reviewed

    Junpei Tsujino, Hiroaki Kudo, Tetsuya Matsumoto, Yoshinori Takeuchi, Noboru Ohnishi

    IEEJ Trans. EIS   Vol. 130 ( 3 ) page: 483-489   2010.3

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    Language:Japanese   Publishing type:Research paper (scientific journal)  

    DOI: 10.1541/ieejeiss.130.483

  17. Acceleration of Genetic Programming by Hierarchical Structure Learning: A Case Study on Image Recognition Program Synthesis Reviewed

    Ukrit WATCHREERUETAI, Tetsuya MATSUMOTO, Noboru OHNISHI, Hiroaki KUDO, and Yoshinori TAKEUCHI

    IEICE Transactions on Information and Systems   Vol. E92-D ( 10 ) page: 2094-2102   2009.10

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  18. Unsupervised Learning of Central Cases of Audio-Visual Events Reviewed

    Kento Nishibori, Tetsuya Matsumoto, Yoshinori Takeuchi, Hiroaki Kudo, Noboru Ohnishi

    IEEJ Trans. EIS   Vol. 129 ( 10 ) page: 1834-1844   2009.10

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    Language:Japanese   Publishing type:Research paper (scientific journal)  

  19. A System Helping the Visually Handicapped Read Common Document Reviewed

    Masamitsu Watanabe, Yoshinori Takeuchi, Tetsuya Matsumoto, Hiroaki Kudo, Noboru Ohnishi

    IEEJ Trans. EIS   Vol. 128 ( 12 ) page: 1745-1746   2008.12

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    Language:Japanese   Publishing type:Research paper (scientific journal)  

  20. A Biologically Inspired Method for Finding Correspondence between Audio-Visual Events Based on Selective Attention Reviewed

    Kento Nishibori, Yoshinori Takeuchi, Tetsuya Matsumoto, Hiroaki Kudo, and Noboru Ohnishi

    The Journal of The Institute of Image Information and Television Engineers   Vol. 62 ( 7 ) page: 1086-1097   2008.7

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  21. Finding the Correspondence of Audio-Visual Events by Object Manipulation Reviewed

    Kento Nishibori, Yoshinori Takeuchi, Tetsuya Matsumoto, Hiroaki Kudo, and Noboru Ohnishi

    IEEJ Trans. EIS   Vol. 128 ( 2 ) page: 242-252   2008.2

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  22. Gauss-Newton Particle Filter Reviewed

    Hui CAO, Noboru OHNISHI, Yoshinori TAKEUCHI, Tetsuya MATSUMOTO, and Hiroaki KUDO

    IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences   Vol. E90-A ( 6 ) page: 1235-1239   2007.6

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  23. Depth Estimation Using the Knowledge of Camera Rotation Reviewed

    IGUCHI Akira, KUDO Hiroaki, and OHNISHI Noboru

    IEEJ Trans. EIS   Vol. 127 ( 6 ) page: 904-913   2007.6

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  24. Effect of Induction Field in Vision for Negative- or Positive Type Images - Measurement of Upper and Lower Limen - Reviewed

    ANDO Rie, KUDO Hiroaki, and OHNISHI Noboru

    The Journal of The Institute of Image Information and Television Engineers   Vol. 61 ( 4 ) page: 543-549   2007.4

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    Induction field in vision means the psychological potential field that affects the appearance of a figure. We typically, measure the field using the upper limen of the method of limits. However, measurement results are unstable for lower luminance. We investigated the effect of negative- or positive-type images on the field by using the method of limits and measuring the upper and lower limen. We determined that negative- or positive-type images affect the field. We confirmed the effect of the induction field in vision on the lower limen, which suggests that the method of limits is required to measure the induction field in vision.

  25. Retrieval-Combination Approach to Estimate 3D Human Pose from Monocular Image Reviewed

    HUI Cao, OHNISHI Noboru, TAKEUCHI Yoshinori, MATSUMOTO Tetsuya, and KUDO Hiroaki

    The Journal of the Institute of Image Information and Television Engineers   Vol. 61 ( 2 ) page: 223-233   2007.2

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  26. Fast Human Pose Retrieval Using Approximate Chamfer Distance Reviewed

    HUI Cao, OHNISHI Noboru, TAKEUCHI Yoshinori, MATSUMOTO Tetsuya, and KUDO Hiroaki

    IEEJ Trans. EIS   Vol. 126 ( 12 ) page: 1490-1496   2006.12

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  27. A Source Separation Method Coping with a Change in the Number of Sources Reviewed

    SHIMIZU Hiroki, ITO Masanori, TAKEUCHI Yoshinori, MATSUMOTO Tetsuya, KUDO Hiroaki, and OHNISHI Noboru

    The IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences (Japanese Edition)   Vol. J89-A ( 10 ) page: 840-843   2006.10

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  28. Computer vision based methods for detecting weeds in lawns Reviewed

    Ukrit Watchareeruetai, Yoshinori Takeuchi, Tetsuya Matsumoto, Hiroaki Kudo, Noboru Ohnishi

    Machine Vision and Applications   Vol. 17   page: 287-296   2006.8

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  29. A Performance Evaluation of Frequency Dmain Blind Source Separation Using Close Arrangement of Directional Microphones Reviewed

    SHIMIZU Hiroki, ITO Masanori, TAKEUCHI Yoshinori, MATSUMOTO Tetsuya, KUDO Hiroaki, and OHNISHI Noboru

    The IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences (Japanese Edition)   Vol. J89-A ( 6 ) page: 485-493   2006.6

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  30. Physiological Analysis of Self-motion Perception Induced by Visual Stimuli Reviewed

    GOTO Reiko, KUDO Hiroaki, SATO Kohei, HOTTA Norio, ISHIDA Koji, and OHNISHI Noboru

    Journal of the Institute of Image Information and Television Engineers of Japan   Vol. 60 ( 4 ) page: 589-596   2006.4

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  31. Image retrieval by pattern categorization using wavelet domain perceptual features with LVQ neural network Reviewed

    M.K.Bashar, N.Ohnishi, T.Matsumoto, Y.Takeuchi, H.Kudo, K.Agusa

    Pattern Recognition Letters   Vol. 26 ( 15 ) page: 2315-2335   2005.11

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  32. A CAI System for Visually Impaired Children to Improve Abilities of Orientation and Mobility Reviewed

    YONEDA Takahiro, KUDO Hiroaki, MINAGAWA Hiroki, OHNISHI Noboru, and MATSUBARA Shizuya

    IEEJ Trans. EIS   Vol. 125 ( 10 ) page: 1621-1628   2005.10

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  33. Relating Audio-Visual Events Caused by Multiple Movements: In the Case that a Moving Object is Out of Camera View Reviewed

    CHEN Jinji, MUKAI Toshiharu, TAKEUCHI Yoshinori, MATSUMOTO Tetsuya, KUDO Hiroaki, YAMAMURA Tsuyoshi, and OHNISHI Noboru

    The Journal of the Institute of Image Information and Television Engineers   Vol. 58 ( 12 ) page: 1828-1834   2004.12

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  34. Improving the Character Extraction Rate and Ranking Voice Output in Systems assisting Vision Impaired People Acquire Character Information from the Environment Reviewed

    SUZUKI Yuji, TAKEUCHI Yoshinori, MATSUMOTO Tetsuya, KUDO Hiroaki, YAMAMURA Tsuyoshi, and OHNISHI Noboru

    The Journal of the Institute of Image Information and Television Engineers   Vol. 58 ( 12 ) page: 1800-1807   2004.12

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  35. A System for Extracting Character Information in the Environment for Visually Impaired People Reviewed

    SUZUKI Yuji, HIRAIWA Hiroyasu, TAKEUCHI Yoshinori, MATSUMOTO Tetsuya, KUDO Hiroaki, YAMAMURA Tsuyoshi, and OHNISHI Noboru

    IEEJ Trans. EIS   Vol. 124 ( 6 ) page: 1280-1287   2004.6

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  36. Measuring Similarity between Documents Using Term Frequency Reviewed

    FUKAWA Ryo, YAMAMURA Tsuyoshi, KUDO Hiroaki, MATSUMOTO Tetsuya, TAKEUCHI Yoshinori, and OHNISHI Noboru

    The Transactions of the Institute of Electronics, Information and Communication Engineers   Vol. J87-D-II ( 2 ) page: 661-672   2004.2

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  37. Informing a Robot of Object Location with Both Hand-Gesture and Verbal Cues Reviewed

    MIZUNO Tomoyasu, TAKEUCHI Yoshinori, KUDO Hiroaki, MATSUMOTO Tetsuya, OHNISHI Noboru, and YAMAMURA Tsuyoshi

    IEEJ Trans. EIS   Vol. 123 ( 12 ) page: 2142-2151   2003.12

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  38. Flower Information Retrieval Using Picture Reviewed

    TAKEICHI Hiroyuki, TAKEUCHI Yoshinori, YAMAMURA Tsuyoshi, MATSUMOTO Tetsuya, KUDO Hiroaki, and OHNISHI Noboru

    IEEJ Trans. EIS   Vol. 123 ( 12 ) page: 2111-2119   2003.12

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  39. Relating Audio-Visual Events Caused by Multiple Movements: In the Case of Entire Object Movement and Sound Location Change Reviewed

    CHEN Jinji, MUKAI Toshiharu, TAKEUCHI Yoshinori, MATSUMOTO Tetsuya, KUDO Hiroaki, YAMAMURA Tsuyoshi, and OHNISHI Noboru

    IEEJ Trans. EIS   Vol. 123 ( 12 ) page: 2094-2102   2003.12

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  40. Effect of Contour Width of Figure on Induction Field in Vision Reviewed

    AKAGAWA Nao, KUDO Hiroaki, NAGAISHI Michihiro, and OHNISHI Noboru

    Journal of the Institute of Image Information and Television Engineers of Japan   Vol. 57 ( 11 ) page: 1551-1558   2003.11

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  41. An Examnation of An Anorthoscopic Perception Focused on A Delay and A Generation Rate of Smooth Pursuit Eye Movement Reviewed

    OHASHI Yoshinori, SUZUKI Yasuhito, KUDO Hiroaki, and OHNISHI Noboru

    The Transactions of The Institute of Electrical Engineers of Japan   Vol. 123 ( 8 ) page: 1402-1408   2003.8

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  42. An Emotional Medel with Oscillators and its Application to a Pet Robot Reviewed

    KATO Shoji, TAKEUCHI Yoshinori, MATSUMOTO Tetsuya, KUDO Hiroaki, YAMAMURA Tsuyoshi, and OHNISHI Noboru

    The Transactions of The Institute of Electrical Engineers of Japan   Vol. 122 ( 8 ) page: 1293-1300   2002.8

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  43. Adjusting Position by Vision System that is Suggested by the Fixation Nystagmus Reviewed

    YAMAMOTO Takahiro, KUDO Hiroaki, and OHNISHI Noboru

    The Transactions of the Institute of Electronics, Information and Communication Engineers   Vol. J85-D-II ( 5 ) page: 954-958   2002.5

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  44. Finding the Correspondence of Audio-Visual Events Caused by Multiple Movements Reviewed

    Chen Jinji, MUKAI Toshiharu, TAKEUCHI Yoshinori, MATSUMOTO Tetsuya, KUDO Hiroaki, YAMAMURA Tsuyoshi, and OHNISHI Noboru

    The Journal of the Institute of Image Information and Television Engineers   Vol. 55 ( 11 ) page: 1450-1459   2001.11

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  45. Depth Perception for Near Visual Target by Monocular Vision Reviewed

    KUDO Hiroaki, SAITO Masaya, YAMAMURA Tsuyoshi, and OHNISHI Noboru

    The Journal of the Institute of Image Information and Television Engineers   Vol. 54 ( 9 ) page: 1311-1314   2000.9

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    Authorship:Lead author   Language:Japanese   Publishing type:Research paper (scientific journal)  

  46. Interdependency between McCollugh Effect and Craik-O'Brien Illusion Reviewed

    YONEYAMA Hidehiko, KUDO Hiroaki, YAMAMURA Tsuyoshi, OHNISHI Noboru, HORIBA Isao, and SUGIE Noboru

    The Journal of the Institute of Image Information and Television Engineers   Vol. 53 ( 12 ) page: 1756-1760   1999.12

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  47. Neural Network Model of Dynamical Grouping Process in the Human Visual System Reviewed

    KOBAYASHI Shin, OKABAYASHI Shigeru, HORIBA Isao, SUGIE Noboru, KUDO Hiroaki, YAMAMURA Tsuyoshi, and OHNISHI Noboru

    The Journal of the Institute of Image Information and Television Engineers   Vol. 53 ( 1 ) page: 135-141   1999.1

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  48. Correspondence Procedure for Recovery of Rigid Structure from Orthographically Projected Optical Flow Reviewed

    Masayuki Umeda, Shin Kobayashi, Isao Horiba, Noboru Sugie, Hiroaki Kudo, Tsuyoshi Yamamura and Noboru Ohnishi

    The Journal of the Institute of Image Information and Television Engineers   Vol. 52 ( 4 ) page: 607-611   1998.4

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  49. Study on the Effect of the Ocular Parallax as a Depth Cue during Gazing Process Reviewed

    Hiroaki Kudo, Masaya Saito, Tsuyoshi Yamamura, and Noboru Ohnishi

    The Journal of the Institute of Image Information and Television Engineers   Vol. 52 ( 4 ) page: 602-606   1998.4

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  50. Saccade Mechanism Based on Processes for Depth Estimation and Incongruity Detection between Binocular Retinal Images-Analysis of Gazing Positions and Inter-saccade Intervals- Reviewed

    Hiroaki Kudo, Kenya Uomori, Mitsuho Yamada, Noboru Ohnishi and Noboru Sugie

    The Journal of the Institute of Television Engineers of Japan   Vol. 50 ( 4 ) page: 465-474   1996.4

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    Authorship:Lead author   Language:Japanese   Publishing type:Research paper (scientific journal)  

  51. Distribution of the Binocular Fixation Positions while Gazing at the Rim of a Cylinder : Effect of the Upper-Surface Visibility Reviewed

    Hiroaki Kudo, Kenya Uomori, Mitsuho Yamada, Noboru Ohnishi and Noboru Sugie

    The Journal of the Institute of Television Engineers of Japan   Vol. 48 ( 6 ) page: 717-726   1994.6

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  52. Shifts in Binocular Fixation Points Induced by Limb Occlusion Reviewed

    Hiroaki Kudo, Kenya Uomori, Mitsuho Yamada, Noboru Ohnishi and Noboru Sugie

    The Journal of the Institute of Television Engineers of Japan   Vol. 47 ( 8 ) page: 1115-1122   1993.8

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  53. Prediction of Stress and Dislocations in Silicon Ingots using Artificial Neural Networks Reviewed

    Abderahmane Boucetta,Yusuke Fukuda, Kentaro Kutsukake, Takuto Kojima, Hiroaki Kudo,Tetsuya Matsumoto, and Noritaka Usami

    The 8th Asian Conference on Crystal Growthand Crystal Technology, CGCT-8     2021.3

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  54. APPLICATION OF ANN TO PREDICT DISTRIBUTION OF DISLOCATIONS IN SILICON INGOTS Reviewed

    Abderahmane BOUCETTA, Yusuke FUKUDA, Kentaro KUTSUKAKE, Takuto KOJIMA, Hiroaki KUDO, Tetsuya MATSUMOTO and Noritaka USAMI

    The 30th International Photovoltaic Science and Engineering Conference (PVSEC-30)     2020.11

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  55. Prediction of regions including dislocations in multicrystalline silicon photoluminescence image by transfer learning of convolutional neural network Reviewed

    Hiroaki Kudo, Yusuke Hayama, Tetsuya Matsumoto, Kentaro Kutsukake, Noritaka Usami

    ICONIP 2019 Proceedings (Australian Journal of Intelligent Information Processing Systems)   Vol. 15 ( 2 ) page: 68 - 74   2019.12

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  56. Generation and propagation of dislocation clusters originated from multicrystallization by Σ3n rotation and in quasi-monocrystalline silicon Reviewed International coauthorship

    T. Kojima, K. Tajima, T. Matsumoto, H. Kudo, N. Usami, P. Krenckel, and S. Riepe

    36th EU PVSEC     page: 2CV.2.15   2019.9

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  57. Multicrystalline Informatics for Silicon Ingot with Ideal Microstructures Invited

    Noritaka Usami, Kazuya Tajima, Soichiro Kamibeppu, Yusuke Hayama, Kentaro Kutsukake, Tetsuya Matsumoto, Hiroaki Kudo

    2018 Materials Research Society Fall Meeting & Exhibit     page: ET02.06.01   2018.11

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  58. 3D visualization and numerical information extraction of crystal defects in multicrystalline silicon ingot by processing PL images Reviewed

    Kazuya Tajima, Tetsuya Matsumoto, Kentaro Kutsukake, Hiroaki Kudo, Noritaka Usa

    The Forum on the Science and Technology of Silicon Materials 2018     page: PB03   2018.11

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  59. Development of detection method of dislocation clusters from photoluminescence images by data science approach

    Kazuya Tajima, Tetsuya Matsumoto, Kentaro Kutsukake, Hiroaki Kudo, Noritaka Usami

    The 7th Korea-Japan Joint Seminar on PV     page: P16   2018.11

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  60. Estimation of dislocation regions in photoluminescence image using weighted multi wafers of multicrystalline silicon by non-negative matrix factorization Reviewed

    Hiroaki Kudo, Tetsuya Matsumoto, Kentaro Kutsukake, Noritaka Usami

    Proceeding of the Ninth International Workshop on Image Media Quality and its Applications     page: 57-61   2018.9

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  61. Detection of incongruity between binocular retinal images for yellow-blue equiluminance random dots when viewing the rim of a column Reviewed

    Shinya Mochiduki, Ayaka Nunomura, Hiroaki Kudo, and Mitsuho Yamada

    Proceeding of the Ninth International Workshop on Image Media Quality and its Applications     page: 92-100   2018.9

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  62. Multicrystalline Informatics to Realize Ideal Crystalline Silicon for Solar Cells Reviewed

    N. Usami, Y. Hayama, T. Muramatsu, K. Tajima, S. Kamibeppu, K. Kutsukake, T. Matsumoto, H. Kudo

    35th EU PVSEC     page: 2BO.1.4   2018.9

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  63. Communication Support System of Smart Glasses for the Hearing Impaired Reviewed

    Daiki Watanabe, Yoshinori Takeuchi, Tetsuya Matsumoto, Hiroaki Kudo, Noboru Ohnishi

    Computers Helping People with Special Needs. ICCHP 2018. Lecture Notes in Computer Science   Vol. 10896   page: 225-232   2018.6

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  64. Estimation of dislocation regions in photoluminescence image using wafers of multicrystalline silicon by non-negative matrix factorization Reviewed

    Hiroaki Kudo, Yusuke Hayama, Tetsuya Matsumoto, Kentaro Kutsukake, Noritaka Usami

    The 10th International workshop on Crystalline Silicon for Solar Cells (CSSC-10)(Abstract Book)     page: 43   2018.4

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  65. Application of weighted Voronoi diagrams to analysis on nucleation sites of multicrystalline silicon ingots Reviewed

    T. Muramatsu, S. Kamibeppu, K. Tajima, Y. Hayama, K. Kutsukake, K. Maeda, T. Matsumoto, H. Kudo, K. Fujiwara, N. Usami

    The 10th International workshop on Crystalline Silicon for Solar Cells (CSSC-10)(Abstract Book)     page: 26   2018.4

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  66. Evaluation on detection of dislocation clusters in the photoluminescence image by approach of data science Invited Reviewed

    K. Tajima, Y. Hayama, T. Muramatsu, K. Kutsukake, T. Matsumoto, H. Kudo , N. Usami

    The 10th International workshop on Crystalline Silicon for Solar Cells (CSSC-10)(Abstract Book)     page: 41   2018.4

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  67. Grain classification of crystal orientation Reviewed

    S. Kamibeppu, T. Muramatsu, Y. Hayama, T. Matsumoto, K. Kutsukake, H. Kudo, N. Usami

    The 10th International workshop on Crystalline Silicon for Solar Cells (CSSC-10)(Abstract Book)     page: 42   2018.4

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  68. 3D visualization and analysis of defects distribution in multicrystalline silicon ingot Reviewed

    Y. Hayama, K. Tajima, S. Kamibeppu, T. Matsuomoto, T. Muramatsu, K. Kutsukake, H. Kudo, N. Usami

    The 10th International workshop on Crystalline Silicon for Solar Cells (CSSC-10)(Abstract Book)     page: 14   2018.4

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  69. 3D Visualization and Analysis of Dislocation Clusters in Multicrystalline Si Ingot by Approach of Data Science Reviewed

    Y. Hayama,T. Matsumoto, T. Muramatsu, K. Kutsukake, H. Kudo, N. Usami

    SiliconPV 2018     2018.3

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  70. Tracking and visualization of dislocation generation in multicrystalline silicon by photoluminescence image processing

    Y. Hayama, T. Matsumoto, K. Kutsukake, I. Takahashi, H. Kudo, and N. Usami

    PVSEC-27     page: 1TuO1.4   2017.11

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  71. Materials and Process Informatics for SMART Silicon Ingot

    N. Usami, Y. Hayama, T. Matsumoto, H. Kudo, T. Yokoi, K. Matsunaga, K. Kutsukake, and Y. Ohno

    2nd Asian Nations Joint Workshop on Photovoltaics     page: Session-AN-1, 14:00-14:20   2017.11

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  72. System supporting independent walking of the visually impaired Reviewed

    Mitsuki Nishikiri, Takehiro Sakai, Hiroaki Kudo, Tetsuya Matsumoto, Yoshinori Takeuchi, Noboru Ohnishi

    ICCHP 2016 proceedings   Vol. Part II   page: 186-189   2016.7

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    DOI: 10.1007/978-3-319-41267-2_25

  73. Support system for lecture captioning using keyword detection by automatic speech recognition Reviewed

    Naofumi Ikeda, Yoshinori Takeuchi, Tetsuya Matsumoto, Hiroaki Kudo, Noboru Ohnishi

    ICCHP 2016 proceedings   Vol. Part II   page: 377-383   2016.7

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    DOI: 10.1007/978-3-319-41267-2_53

  74. Accommodation Measurement for Differences Between Visual Distances of Real Visual Target and Augmented Reality Image Reviewed

    Hiroaki Kudo, Noboru Ohnishi

    Proceeding of the Eighth International Workshop on Image Media Quality and its Applications     page: 56-61   2016.3

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  75. Measurement of eye movements and depth perception for occlusion Invited

    Hiroaki Kudo

    Proceeding of the Eighth International Workshop on Image Media Quality and its Applications     page: 3-8   2016.3

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  76. Fast Separation and Accurate Recognition of Overlapped Speech - Separation by Spectral Subtraction and Acoustic Model Training using Separated Speeches - Reviewed

    Yuto Dekiura, Tetsuya Matsumoto, Yoshinori Takeuchi, Hiroaki Kudo, Noboru Ohnishi, Norihide Kitaoka, Kazuya Takeda

    2015 RISP International Workshop on Nonlinear Circuits, Communications and Signal Processing     page: 28AM1-1-1   2015.2

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  77. A Mobile System of Reading out Restaurant Menus for Blind People Reviewed

    Takehiro Sakai, Tetsuya Matsumoto, Yoshinori Takeuchi, Hiroaki Kudo, Noboru Ohnishi

    Proceedings of ICEAPVI     page: 174-178   2015.2

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  78. Interactive Color Correction of Display by Dichromatic User Reviewed

    Hiroki Takagi, Hiroaki Kudo, Tetsuya Matsumoto, Yoshinori Takeuchi, Noboru Ohnishi

    Proceedings of The 21st International Conference on Neural Information Processing   Vol. 3 ( LNCS 8836 ) page: 175-182   2014.11

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    DOI: 10.1007/978-3-319-12643-2_22

  79. Illuminant color estimation based on second-order statistics of digital image Reviewed

    Hiroaki Kudo, Kenji Kawashima, Tetsuya Matsumoto, Yoshinori Takeuchi, Noboru Ohnishi

    7th International Workshop on Image Media Quality and its Applications     page: 15-20   2014.9

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  80. A Smart-Phone Based System to Detect Warning Sound for Hearing Impaired People Reviewed

    Koichiro Takeuchi, Tetsuya Matsumoto, Yoshinori Takeuchi, Hiroaki Kudo, Noboru Ohnishi

    14th International Conference on Computers Helping People with Special Needs     page: Part II, 506-511   2014.7

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    DOI: 10.1007/978-3-319-08599-9_75

  81. Measurement of Confusion Color Pairs for Dichromats in order to Use Applications Supporting Color Vision Deficiency Reviewed

    Hiroki Takagi, Hiroaki Kudo, Tetsuya Matsumoto, Yoshinori Takeuchi, Noboru Ohnishi

    Proceedings of The 2014 International Joint Conference on Neural Networks     page: 3458-3464   2014.7

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    DOI: 10.1109/IJCNN.2014.6889500

  82. A System Helping Blind People to Get Character Information in Their Surrounding Environment Reviewed

    Noboru Ohnishi, Tetsuya Matsumoto, Hiroaki Kudo, Yoshinori Takeuchi

    Proceedings of The 15th ACM SIGACCESS International Conference on Computers and Accessibility     2013.10

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    DOI: 10.1145/2513383.2513389

  83. Effect of Chromaticness in Measurement of Differential Limen Reviewed

    Hiroaki Kudo, Takeshi Hayashi, Noboru Ohnishi

    6th International Workshop on Image Media Quality and its Applications     page: 38-41   2013.9

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  84. Scene Classification based on Category-Specific Representations Created through Prototype Feature Selection Reviewed

    Shuang Bai, Tetsuya Matsumoto, Hiroaki Kudo, Noboru Ohnishi, Yoshinori Takeuchi

    Proceedings of the 27th Conference on Image and Vision Computing New Zealand     page: 174-179   2012.11

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    DOI: 10.1145/2425836.2425874

  85. Effect of Luminance Gradients in Measurement of Differential Limen Reviewed

    Hiroaki Kudo, Takuya Kume, Noboru Ohnishi

    19th International Conference on Neural Information Processing     page: Part V, 42-49   2012.11

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    DOI: 10.1007/978-3-642-34500-5_6

  86. A System Helping the Blind to Get Merchandise Information Reviewed

    Nobuhito Tanaka, Yasunori Doi, Tetsuya Matsumoto, Yoshinori Takeuchi, Hiroaki Kudo, Noboru Ohnishi

    13th International Conference on Computers Helping People with Special Needs     page: Part II, 596-598   2012.7

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    DOI: 10.1007/978-3-642-31534-3_87

  87. Construction of image feature extractors based on multi-objective genetic programming with redundancy regulations Reviewed

    Ukrit Watchareeruetai, Tetsuya Matsumoto, Yoshinori Takeuchi, Hiroaki Kudo, Noboru Ohnishi

    IEEE International Conference on Systems, Man, and Cybernetics (SMC2009)     page: 1328-1333   2009.10

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  88. Acceleration of Genetic Programming by Hierarchical Structure Learning: A Study on Image Recognition Program Synthesis Reviewed

    Ukrit Watchareeruetai, Tetsuya Matsumoto, Noboru Ohnishi, Hiroaki Kudo, Yoshinori Takeuchi

    Learning and Intelligent OptimizationN (LION3)     2009.1

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  89. Improving Search Performance of Linear Genetic Programming Based Image Recognition Program Synthesis by Redundancy-removed Recombination Reviewed

    Ukrit Watchareeruetai, Yoshinori Takeuchi, Tetsuya Matsumoto, Hiroaki Kudo, Noboru Ohnishi

    IEEE Congress on Soft Computing in Industrial Applications (SMCia/08)     page: 393-398   2008.6

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  90. Transformation of Redundant Representations of Linear Genetic Programming into Canonical Forms for Efficient Extraction of Image Features Reviewed

    Ukrit Watchareeruetai, Yoshinori Takeuchi, Tetsuya Matsumoto, Hiroaki Kudo, Noboru Ohnishi

    IEEE Congress on Evolutionary Computation (CEC2008)     page: 1996-2003   2008.6

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  91. Modified lawn weed detection: utilization of edge-color based SVM and grass-model blob inspection filterbank Reviewed

    Ukrit Watchareeruetai, Yoshinori Takeuchi, Tetsuya Matsumoto, Hiroaki Kudo, Noboru Ohnishi

    14th Int. Conf. on Neural Information Processing (ICONIP2007)     page: 111(Abstarct)   2007.11

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  92. Wavelet-Based Multiresolution Features for Detecting Duplications in Images Reviewed

    M.K.Bashar, K.Noda, N.Ohnishi, H.Kudo, T.Matsumoto, and Y.Takeuchi

    IAPR Conference on Machine Vision Applications (MVA2007)     page: 264-267   2007.5

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  93. A lawn weed detection in winter season based on color information Reviewed

    Ukrit Watchareeruetai, Yoshinori Takeuchi, Tetsuya Matsumoto, Hiroaki Kudo, Noboru Ohnishi

    IAPR Conference on Machine Vision Applications (MVA2007)     page: 524-527   2007.5

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  94. Determination of Correspondence between Audio and Visual Events through Active Motion Reviewed

    Kento Nishibori, Yoshinori Takeuchi, Tetsuya Matsumoto, Hiroaki Kudo, Noboru Ohnishi

    International Workshop on Advanced Image Technology (IWAIT 2007)     page: 620-625   2007.1

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  95. An Examination of the Distribution of Induction Field in Vision for Negative or Positive Type Images Reviewed

    ANDO Rie, KUDO Hiroaki, OHNISHI Noboru

    Vision   Vol. 18 ( (supplement for ACV 2006) ) page: 140   2006.7

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  96. Computer Vision Based Methods for Detecting Weeds in Lawns Reviewed

    Ukrit Watchareeruetai, Yoshinori Takeuchi, Tetsuya Matsumoto, Hiroaki Kudo, Noboru Ohnishi

    The 2nd IEEE International Conference on Cybernetics Intelligent Systems     page: 323-328   2006.6

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  97. Combining Global and Simplified Parts-Based Approach to Estimate Human Body Configuration

    H.Cao, Y.Takeuchi, T.Matsumoto, H.Kudo, N.Ohnishi

    International Workshop on Advanced Image Technology (IWAIT 2005)     page: 229-234   2005.1

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  98. An Attentional Correspondence of Audio-Visual Events

    K.Nishibori, Y.Takeuchi, T.Matsumoto, H.Kudo, N.Ohnishi

    International Workshop on Advanced Image Technology (IWAIT 2005)     page: 151-156   2005.1

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  99. Determining Correspondences between Sensory and Motor Signals

    Kento Nishibori, Jinji Chen, Yoshinori Takeuchi, Tetsuya Matsumoto, Hiroaki Kudo, Noboru Ohnishi

    Proc. of Pacific-Rim Conference on Multimedia     page: 532-539   2004.11

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  100. Closely Arranged Directional Microphone for Source Separation - Effectiveness in Reduction of the Number of Taps and Preventing Factors Reviewed

    Y.Katayama, M.Ito, A.K.Barros, Y.Takeuchi, T.Matsumoto, H.Kudo, N.Ohnishi, T.Mukai

    Proc. of Fifth International Conference on Independent Component Analysis and Blind Signal Separation (ICA2004)     page: 129-135   2004.9

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  101. Unsupervised texture Segmentation via Wavelet-based Lacally Orderless Images (WLOIs) and SOM Reviewed

    Md. Khayrul Bashar, MATSUMOTO Tetsuya, TAKEUCHI Yoshinori, KUDO Hiroaki, and OHNISHI Noboru

    Proceedings of the 6th IASTED International Conference / COMPUTER GRAPHICS AND IMAGING     page: 279-284   2003.8

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  102. Relating Audio-Visual Events Caused by Multiple Movements in the Real Environment Reviewed

    CHEN Jinji, MUKAI Toshiharu, TAKEUCHI Yoshinori, MATSUMOTO Tetsuya, KUDO Hiroaki, YAMAMURA Tsuyoshi, and OHNISHI Noboru

    The 9th International Conference on Information Systems Analysis and Synthesis ISAS' 03     page: 162-167   2003.7

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  103. Moving-Source Separation Using Directional Microphones Reviewed

    Masanori Ito, Yusuke Katayama, Yoshinori Takeuchi, Tetsuya Matsumoto, Hiroaki Kudo, Mitsuru Kawamoto, Toshiharu Mukai, and Noboru Ohnishi

    The 2nd IEEE International Symposium on Signal Processing and Information Technology     page: 523-526   2002.12

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  104. Reduction of Source Separation Time by Placing Microphones Close Together Reviewed

    Yusuke Katayama, Masanori Ito, Yoshinori Takeuchi, Tetsuya Matsumoto, Hiroaki Kudo, Noboru Ohnishi, and Toshiharu Mukai

    The 2nd IEEE International Symposium on Signal Processing and Information Technology     page: 540-544   2002.12

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  105. Relating Audio-Visual Events Caused by Multiple Movements: In the Case of Entire Object Movements and Sound Location Changes Reviewed

    CHEN Jinji, MUKAI Toshiharu, TAKEUCHI Yoshinori, MATSUMOTO Tetsuya, KUDO Hiroaki, YAMAMURA Tsuyoshi, and OHNISHI Noboru

    The 6th World Multiconference on Systemics, Cybernetics and Informatics     page: 5-12   2002.7

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  106. Relating Audio-Visual Events Caused by Multiple Movements: In the Case of Entire Object Movement Reviewed

    CHEN Jinji, MUKAI Toshiharu, TAKEUCHI Yoshinori, MATSUMOTO Tetsuya, KUDO Hiroaki, YAMAMURA Tsuyoshi, and OHNISHI Noboru

    Proceedings of the Fifth International Conference on Information Fusion   Vol. 1   page: 213-219   2002.7

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  107. A Gestalt Approach to Integrate Audio-Visual Events Reviewed

    Chen Jinji, MUKAI Toshiharu, TAKEUCHI Yoshinori, MATSUMOTO Tetsuya, KUDO Hiroaki, YAMAMURA Tsuyoshi, and OHNISHI Noboru

    The International Symposium on Measurement, Analysis and Modeling of Human Functions     page: 422-427   2001.9

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  108. Relating audio-visual events caused by more than one movement Reviewed

    CHEN Jinji, MUKAI Toshiharu, TAKUCHI Yoshinori, KUDO Hiroaki, YAMAMURA Tsuyoshi, and OHNISHI Noboru

    ICONIP-2000 Proceedings   Vol. 1   page: 252-257   2000.11

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  109. Finding Correspondence between Visual and Auditory Events Based on Perceptual Grouping Laws across Different Modalities Reviewed

    CHEN Jinji, MUKAI Toshiharu, TAKEUCHI Yoshinori, KUDO Hiroaki, YAMAMURA Tsuyoshi, and OHNISHI Noboru

    Proceedings of The 2000 IEEE International Conference on Systems, Man and Cybernetics     page: 242-247   2000.10

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  110. A System for Blind Children to Improve Fundamental Abilities of Mobility Reviewed

    YONEDA Takahiro, KUDO Hiroaki, MINAGAWA Hiroki, OHNISHI Noboru, and MATSUBARA Shizuya

    7th International Conference on Computers Helping People with Special Needs     page: 537-544   2000.7

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  111. Effect of the Sight Line Shift when a Head-Mounted Display Is Used Reviewed

    KUDO Hiroaki and OHNISHI Noboru

    CD-ROM Proceedings of the World Congress on Medical Physics and Biomedical Engineering     page: 1-4   2000.7

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  112. A System Assisting Blind Children to Acquire Spatial Awareness through Body Movement Reviewed

    OHNISHI Noboru, YONEDA Takahiro, KUDO Hiroaki, and MINAGAWA Hiroki

    Proceedings of The First BMES/EMBS Conference     page: 653   1999.10

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  113. Modeling Dynamical Grouping Process Reviewed

    YAMAMURA Tsuyoshi, KUDO Hiroaki, OHNISHI Noboru, and SUGIE Noboru

    IEEE SMC'99 Conference Proceedings   Vol. II   page: 50-53   1999.10

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  114. Measurement of the ability in monocular depth perception during gazing at near visual target - effect of the ocular parallax cue Reviewed

    KUDO Hiroaki, SAITO Masaya, YAMAMURA Tsuyoshi, and OHNISHI Noboru

    IEEE SMC'99 Conference Proceedings   Vol. II   page: 34-37   1999.10

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  115. A Neural Network Model of Dynamically Fluctuating Perception of Necker Cube as well as Dot Patterns Reviewed

    KUDO Hiroaki, YAMAMURA Tsuyoshi, OHNISHI Noboru, KOBAYASHI Shin, and SUGIE Noboru

    AAAI-99/IAAI-99 Proceedings     page: 194-199   1999.7

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  116. Correspondence Procedure for Recovery of Rigid Structure from Orthographically Projected Optical Flow -A Comoputational Aspect of kinetic Depth Effect- Reviewed

    Hiroaki Kudo, Masayuki Umeda, Isao Horiba, Noboru Sugie, Tsuyoshi Yamamura and Noboru Ohnishi

    Proceedings of the Fifth International Conference on Neural Information Processing   Vol. 1   page: 401-404   1998.10

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  117. A Neural Network Model of Dynamical Grouping Process Reviewed

    Tsuyoshi Yamamura, Shin Kobayashi, Isao Horiba, Noboru Sugie, Hiroaki Kudo and Noboru Ohnishi

    Proceedings of the Fifth International Conference on Neural Information Processing   Vol. 1   page: 319-322   1998.10

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  118. Study on the Ocular Parallax as a Monocular Depth Cue Induced by Small Eye Movements During a Gaze Reviewed

    Hiroaki Kudo and Noboru Ohnishi

    Proceedings of the Annual Interrational Conference of the IEEE Engineering in Medcine and Biology Society   Vol. 20 ( 6 ) page: 3180-3183   1998.10

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  119. A Model of Saccade Mechanism Based on Occlusion Detection and Depth Estimation Processes Reviewed

    Hiroaki Kudo, Kenya Uomori, Mitsuho Yamada, Noboru Ohnishi and Noboru Sugie

    Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society   Vol. 18 ( 5 ) page: 8,3-6,1-3   1996.10

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  120. Binocular Fixation-Point Shifts induced by a Limb Occlution Reviewed

    Hiroaki Kudo, Kenya Uomori, Mitsuho Yamada, Noboru Ohnishi and Noboru Sugie

    Proceedings of the Annual International Conference of The IEEE Engineering in Medicine and Biology Society   Vol. 14   page: 1670-1671   1992.10

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  121. Occurrence Prediction of Dislocation Regions in Photoluminescence Image of Multicrystalline Silicon Wafers Using Transfer Learning of Convolutional Neural Network

    KUDO Hiroaki, MATSUMOTO Tetsuya, KUTSUKAKE Kentaro, USAMI Noritaka

    IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences   Vol. 104 ( 6 ) page: 857 - 865   2021

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    <p>In this paper, we evaluate a prediction method of regions including dislocation clusters which are crystallographic defects in a photoluminescence (PL) image of multicrystalline silicon wafers. We applied a method of a transfer learning of the convolutional neural network to solve this task. For an input of a sub-region image of a whole PL image, the network outputs the dislocation cluster regions are included in the upper wafer image or not. A network learned using image in lower wafers of the bottom of dislocation clusters as positive examples. We experimented under three conditions as negative examples; image of some depth wafer, randomly selected images, and both images. We examined performances of accuracies and Youden's J statistics under 2 cases; predictions of occurrences of dislocation clusters at 10 upper wafer or 20 upper wafer. Results present that values of accuracies and values of Youden's J are not so high, but they are higher results than ones of bag of features (visual words) method. For our purpose to find occurrences dislocation clusters in upper wafers from the input wafer, we obtained results that randomly select condition as negative examples is appropriate for 10 upper wafers prediction, since its results are better than other negative examples conditions, consistently.</p>

    DOI: 10.1587/transfun.2020IMP0010

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  122. Occlusion Avoidance Behavior During Gazing at a Rim Drawn by Blue-Yellow Opposite Colors

    SHINOHARA Miho, TAMURA Yukina, MOCHIDUKI Shinya, KUDO Hiroaki, YAMADA Mitsuho

    IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences   Vol. 104 ( 6 ) page: 897 - 901   2021

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    Language:English   Publisher:一般社団法人 電子情報通信学会  

    <p>We investigated the function in the Lateral Geniculate Nucleus of avoidance behavior due to the inconsistency between binocular retinal images due to blue from vergence eye movement based on avoidance behavior caused by the inconsistency of binocular retinal images when watching the rim of a blue-yellow equiluminance column.</p>

    DOI: 10.1587/transfun.2020IML0001

    Web of Science

    Scopus

    CiNii Article

  123. Application of machine learning for high-performance multicrystalline materials

    Usami N., Kutsukake K., Kojima T., Kudo H., Matsumoto T., Yokoi T., Shimizu Y., Ohno Y.

    ECS Transactions   Vol. 102 ( 4 ) page: 11 - 16   2021

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    Language:Japanese   Publisher:ECS Transactions  

    We report on our recent attempt to pioneer “multicrystalline informatics” through collaboration of experiments, theory, computation, and machine learning to establish universal guidelines how we can obtain high-performance multicrystalline materials. We employ silicon as a model material, and develop various useful machine learning models. One example is a neural network to predict distribution of crystal orientations in a large-area sample from multiple optical images. Transfer learning of pre-trained image classifier could predict spatial distribution of probability of dislocations generation from photoluminescence images. Extracted regions with high probability of dislocations generation could be characterized by multiscale experiments as well as computation using artificial-neural-network interatomic potential to disclose the physics behind. The obtained knowledge could be useful for process development of high-performance multicrystalline materials.

    DOI: 10.1149/10204.0011ecst

    Scopus

  124. 立体映像における現実感向上のためのオクルージョン領域を対象とした眼球運動の分析 Invited

    工藤博章,山田光穗,大西 昇

    電子情報通信学会 基礎・境界ソサイエティ Fundamentals Review   Vol. 10 ( 3 ) page: 169-175   2017.1

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    Authorship:Lead author   Language:Japanese  

    DOI: 10.1587/essfr.10.3_169

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Research Project for Joint Research, Competitive Funding, etc. 1

  1. Multicrystalline informatics toward establishment of general grain boundary physics and realization of high-quality silicon ingot with ideal microstructures

    2017.10

    Japan Science and Technology Agency.  Strategic Basic Research Programs CREST 

    USAMI, Noritaka(Lead Joint Researcher: KUDO, Hiroaki)

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    Authorship:Coinvestigator(s)  Grant type:Competitive

KAKENHI (Grants-in-Aid for Scientific Research) 8

  1. 高精細映像受容時のオクルージョン知覚機構に関わる視覚情報処理の分析

    Grant number:19K12018  2019.4 - 2022.3

    科学研究費補助金  基盤研究(C)

    工藤 博章

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    Authorship:Principal investigator  Grant type:Competitive

  2. オクルージョン知覚機構の解明とこれに基づいた高精細映像処理法

    2015.4 - 2018.3

    科学研究費補助金  基盤研究(C)

    工藤博章

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    Authorship:Principal investigator 

  3. 映像観視時の視覚応答と生体信号応答に関する可視化とモデル化

    2009.4 - 2012.3

    科学研究費補助金  基盤研究(C) 21500198

    工藤博章

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    Authorship:Principal investigator 

  4. 視覚の誘導場理論の多次元化のための要因検証とそのモデル化

    2005 - 2006

    科学研究費補助金  若手研究(B),課題番号:17700234

    工藤 博章

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    Authorship:Principal investigator 

  5. 自然な端末間コミュニケーションのための姿勢変化に伴う頭部・視線運動計測と音源定位

    2003 - 2004

    科学研究費補助金  若手研究(B),課題番号:15700092

    工藤 博章

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    Authorship:Principal investigator 

  6. カメラの回転で生じる視差による奥行き計測を利用したステレオビジョンシステム

    2001 - 2002

    科学研究費補助金  奨励研究(A)→若手研究(B) 13780324

    工藤 博章

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    Authorship:Principal investigator 

  7. 遠隔操作のための眼内視差と運動視差を考慮した立体呈示法

    1999 - 2000

    科学研究費補助金  奨励研究(A) 11780303

    工藤 博章

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    Authorship:Principal investigator 

  8. 奥行き知覚における小さな眼球運動により生じる眼内視差の役割

    1997 - 1998

    科学研究費補助金  奨励研究(A) 09780376

    工藤 博章

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    Authorship:Principal investigator 

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Teaching Experience (On-campus) 30

  1. Biological Information Processing

    2020

  2. Information Processing in Biological Systems

    2020

  3. 知能システムA1

    2020

  4. 知的インタフェース2

    2020

  5. 知的インタフェース1

    2020

  6. システム知能情報学セミナーⅠ-h

    2020

  7. システム知能情報学セミナーⅠ-g

    2020

  8. システム知能情報学セミナーⅠ-f

    2020

  9. システム知能情報学セミナーⅠ-e

    2020

  10. システム知能情報学セミナーⅠ-d

    2020

  11. システム知能情報学セミナーⅠ-c

    2020

  12. システム知能情報学セミナーⅠ-b

    2020

  13. システム知能情報学セミナーⅠ-a

    2020

  14. 知能システムA2

    2020

  15. 知能システム学演習h

    2020

  16. 知能システム学演習g

    2020

  17. 知能システム学演習f

    2020

  18. 知能システム学演習e

    2020

  19. 知能システム学演習d

    2020

  20. 知能システム学演習c

    2020

  21. 知能システム学演習b

    2020

  22. 知能システム学演習a

    2020

  23. システム知能情報学セミナーⅡ-h

    2020

  24. システム知能情報学セミナーⅡ-g

    2020

  25. システム知能情報学セミナーⅡ-f

    2020

  26. システム知能情報学セミナーⅡ-e

    2020

  27. システム知能情報学セミナーⅡ-d

    2020

  28. システム知能情報学セミナーⅡ-c

    2020

  29. システム知能情報学セミナーⅡ-b

    2020

  30. システム知能情報学セミナーⅡ-a

    2020

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Teaching Experience (Off-campus) 10

  1. ディジタル信号処理

    2020.4 - 2020.9 Daido University)

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    Level:Undergraduate (specialized)  Country:Japan

  2. ディジタル信号処理

    2019.4 - 2019.9 Daido University)

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    Level:Undergraduate (specialized)  Country:Japan

  3. ディジタル信号処理

    2018.4 - 2018.9 Daido University)

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    Level:Undergraduate (specialized)  Country:Japan

  4. ディジタル信号処理

    2017.4 - 2017.9 Daido University)

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    Level:Undergraduate (specialized)  Country:Japan

  5. ディジタル信号処理

    2016.4 - 2016.9 Daido University)

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    Level:Undergraduate (specialized)  Country:Japan

  6. ディジタル信号処理

    2015.4 - 2015.9 Daido University)

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    Level:Undergraduate (specialized)  Country:Japan

  7. ディジタル信号処理

    2014.4 - 2014.9 Daido University)

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    Level:Undergraduate (specialized)  Country:Japan

  8. ディジタル信号処理論

    2004.4 - 2005.3 愛知県立大学)

  9. ディジタル信号処理論

    2003.4 - 2004.3 愛知県立大学)

  10. ディジタル信号処理論

    2002.4 - 2003.3 愛知県立大学)

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