Rchr
J-GLOBAL ID:200901035528319560   Update date: Dec. 05, 2019

KATAGIRI Shigeru

カタギリ シゲル | KATAGIRI Shigeru
Affiliation and department:
Job title: Professor
Homepage URL  (1): http://ccilab.doshisha.ac.jp/
Research field  (2): Perception information processing/Intelligent robotics ,  Sensitivity informatics/Soft computing
Research keywords  (2): Machine Learning ,  Co-Creation Informatics
Research theme for competitive and other funds  (4):
  • 2018 - 2022 Development of Class Boundary Evaluation Criterion in Pattern Recognition
  • 2014 - 2017 MCE-Criterion-Based Approach to Design and Search of Discriminative Feature Space
  • 2010 - 2012 Study on Achievable Performances of Minimum Classification Error Training
  • 2007 - 2009 Systematization and Generalization of Discriminative Training
Papers (152):
  • Naoto UMEZAKI, Takumi OKUBO, Hideyuki WATANABE, Shigeru KATAGIRI, and Miho OHSAKI. Minimum Classification Error Training with Speech Synthesis-Based Regularization for Speech Recognition. ACM, Proc. International Conference on Signal Processing and Machine Learning (SPML2019). 2019
  • Masahiro SENDA, David HA, Hideyuki WATANABE, Shigeru KATAGIRI, and Miho OHSAKI. Maximum Bayes Boundary-Ness Training for Pattern Classification. ACM, Proc. International Conference on Signal Processing and Machine Learning (SPML2019). 2019
  • David HA, Yuya TOMOTOSHI, Masahiro SENDA, Hideyuki WATANABE, Shigeru KATAGIRI, Miho OHSAKI. A Practical Method Based on Bayes Boundary-Ness for Optimal Classifier Parameter Status Selection. Journal of Signal Processing Systems. 2019
  • David HA, Yuya TOMOTOSHI, Masahiro SENDA, Hideyuki WATANABE, Shigeru KATAGIRI, Miho OHSAKI. Improvement for Boundary-Uncertainty-Based Classifier Parameter Status Selection Method. IEEE, Proc. Int. Conf. Computational Electromagnetics (ICCEM 2019). 2019
  • Yuya TOMOTOSHI, David HA, Emilie DELATTRE, Hideyuki WATANABE, Xugang LU, Shigeru KATAGIRI, Miho OHSAKI. Optimal Classifier Parameter Status Selection Based on Bayes Boundary-ness for Multi-ProtoType and Multi-Layer Perceptron Classifiers. Integrated Uncertaintyin Knowledge Modelling and Decision Making (Lecture Notes in Artificial Intelligence). 2019. 11471. 295-307
more...
MISC (13):
  • Tsubasa Ochiai, Tatsuya Mitsuhiro, Shigeki Matsuda, Shigeru Katagiri. Introduction to Deep Learning Toolkit for Speech and Language Processing. Proc. ASJ. 2017. 73. 1. 63-72
  • Shigeru KATAGIRI. Proposal of the Dynamic Features of Clinical Time Series for the Prediction of Liver Fibrosis Stages in Chronic Hepatitis C. Japan Journal of Medical Informatics. 2013. 33. 2. 79-98
  • Shigeru KATAGIRI. Incremental Minimum Classification Error Training for Pattern Recognition. IEICE Transactions D. 2011. J94D. 4. 702-711
  • Shigeru KATAGIRI. Minimum Classification Error Training using Geometric-Margin-Based Misclassification Measure. IEICE Transactions D. 2011. J94D. 10. 1664-1675
  • Shigeru KATAGIRI. Towards Maximum Geometric Margin Minimum Error Classification. The Science and Engineering Review of Doshisha University. 2009. 50. 3. 43-52
more...
Books (11):
  • Readings in Speech Recognition
    Morgan Kaufmann 1990
  • Artificial Neural Networks for Speech and Vision
    Chapman & Hall 1994
  • Signal Processing Technology and Applications
    IEEE Press 1995
  • Application of Neural Networks
    Ohm 1995
  • Applications of Neural Networks
    Ohm Pub. 1995
more...
Lectures and oral presentations  (6):
  • A New Perspective of Discriminative Training for Pattern Recognition
    (IEEE and IET, 2008 International Conference on Audio, Language and Image Processing (ICALIP2018) 2008)
  • パターン認識の原点に立ち返って
    (IEEE関西セクション・情報通信技術研究交流会共催講演会 2008)
  • パターン認識課題にどう向き合うか-一般化確率的降下法と最小分類誤り学習法の狭間で-
    (電子情報通信学会 パターン認識•メディア理解研究会 2009)
  • 最新インタラクション技術-同室感通信t-Roomと要素技術研究の共創を目指す-
    (情報通信ネットワーク協会「Adaptive & Scalableデザイン」ワーキングループ 2009)
  • From Bayes Error to Bayes Boundary
    (ACM, International Conference on Signal Processing and Machine Learning (SPML2018) 2018)
more...
Works (1):
  • Collaboration technology enhanced with t-Room
    2006 - 2008
Education (3):
  • - 1977 Tohoku University Faculty of Engineering
  • - 1979 Tohoku University Graduate School, Division of Engineering
  • - 1982 Tohoku University Graduate School, Division of Engineering
Professional career (1):
  • Dr. Engineering (Tohoku University)
Work history (17):
  • 1982 - 1986 Researcher, Nippon Telegraph and Telephone (NTT) Electrical Communication Laboratories
  • 1989 - 1990 AT&T Bell Laboratories Visiting Researcher
  • 1986 - 1992 Senior Researcher, Advanced Telecommunications Research Institute International (ATR)
  • 1992 - 1997 Supervisor, ATR
  • 1997 - 1999 Dept. Head, ATR
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Committee career (35):
  • 2012 - 現在 IEEE Associate Member, Signal Processing Society TC on MLSP
  • 2013 - 2014 IEEE Member, James Flanagan Award Committee
  • 2013 - 2014 IEEE Past Chair, Kansai Section
  • 2011 - 2012 IEEE Chair, Kansai Section
  • 2011 - 2012 IEEE Board Member, Japan Council
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Awards (8):
  • 2002 - NTT R&D Fellow
  • 2002 - Best Presentation Award, Japanese Society for Artificial Intelligence
  • 2001 - IEEE Fellow
  • 1993 - IEEE Signal Processing Society Senior Award
  • 1992 - ATR R&D Award, Special Prize
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Association Membership(s) (9):
European Association for Speech ,  Signal and Image Processing ,  IEEE ,  INNS ,  JNNS ,  ENNS ,  Acoust. Soc. Jpn. ,  Acoustical Society of Japan ,  IEICE
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