Updated on 2022/06/21

写真a

 
TAMATANI Mitsuru
 
Organization
Faculty of Economics

Degree

  • 博士(理学) ( 2014.3   島根大学 )

Research Areas

  • Natural Science / Applied mathematics and statistics

  • Informatics / Statistical science

Educational Background

  • Shimane University   総合理工学研究科   電子機能システム工学専攻

    2011.4 - 2014.3

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    Country: Japan

 

Primary Subjects (Course) in charge

  • 数理科学基礎b

  • 数理科学基礎a

  • データサイエンス概論

 

Papers

  • High dimensional asymptotics for the naive Hotelling T^2 statistic in pattern recognition Reviewed

    Mitsuru Tamatani,Kanta Naito

    Communications in Statistics - Theory and Methods   48   5637 - 5656   2019

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    Authorship:Lead author, Corresponding author   Language:English   Publishing type:Research paper (scientific journal)  

  • Asymptotic theory for discriminant analysis in high dimension low sample size Reviewed

    Mitsuru Tamatani

    Memoirs of The Graduate School of Science and Engineering, SHIMANE UNIVERSITY   48   15 - 26   2015

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    Authorship:Lead author, Corresponding author   Language:English   Publishing type:Research paper (scientific journal)  

  • Multi-class discriminant function based on canonical correlation in high dimension low sample size Reviewed

    2. Mitsuru Tamatani, Kanta Naito, Inge Koch

    Bulletin of Informatics and Cybernetics   45   67 - 101   2013

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    Authorship:Lead author, Corresponding author   Language:English   Publishing type:Research paper (scientific journal)  

  • Pattern recognition based on canonical correlations in a high dimension low sample size context Reviewed

    Mitsuru Tamatani, Inge Koch, Kanta Naito

    Journal of Multivariate Analysis   111   350 - 367   2012

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    Authorship:Lead author, Corresponding author   Language:English   Publishing type:Research paper (scientific journal)  

Thesis for a degree

  • Pattern recognition based on naive canonical correlations in high dimension low sample size

    Mitsuru Tamatani

        2014

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    Authorship:Lead author, Corresponding author   Language:English   Publishing type:Doctoral thesis