Nemoto Y | Graduate School Of Information Sciences (gsis) Tohoku University

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概要

• 同名の論文著者
• Graduate School Of Information Sciences (gsis) Tohoku Universityの論文著者

関連著者

• Nemoto Y

  Graduate School Of Information Sciences (gsis) Tohoku University

• Kato Nei

  Graduate School Of Information Sciences (gsis) Tohoku University

• Nemoto Yoshiaki

  Graduate School Of Information Science Tohoku University

• Waizumi Yuji

  Graduate School Of Information Sciences (gsis) Tohoku University

• KATO Nei

  Graduate School of Information Sciences, Tohoku University

• NEMOTO Yoshiaki

  Graduate School of Information Sciences, Tohoku University

• Saruta Kazuki

  The Author Is With The Faculty Of Systems Science And Technology Akita Prefectural Univ.

• Ishii Tsutomu

  Matsushita Communication Industrial Co. Ltd. Software Development Center

• Kato Naoki

  The Central Research Laboratory Hitachi Ltd.

• Nemoto Y

  Graduate School Of Information Sciences Tohoku University

• Abe Masato

  Faculty Of Engineering Iwate University

• Kato N

  Graduate School Of Information Sciences Tohoku University

• SARUTA Kazuki

  Faculty of Literature and Social Sciences, Yamagata University

• Nemoto Yoshiaki

  The Authors Are With Graduate School Of Information Sciences Tohoku University

• WAIZUMI Yuji

  Graduate School of Information Sciences, Tohoku University

• UCHIYAMA Yuichi

  NTT DATA CORPORATION

• WAIZUMI Yuji

  The authors are with the Graduate School of Information Sciences, Tohoku University

• KATO Nei

  The authors are with the Graduate School of Information Sciences, Tohoku University

• Uchiyama Y

  Ntt Data Corporation

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著作論文

• High Accuracy Recognition of ETL9B Using Exclusive Learning Neural Network-II : ELNET-II (Special Issue on Character Recognition and Document Understanding)
• A Study of Gaussian Activation Function Based Modular Neural Network for Alternative-Style Handwritten Characters Recognition System
• Detecting and Tracing DDoS Attacks in the Traffic Analysis Using Auto Regressive Model(Traffic Measurement and Analysis)(New Thechnologies and their Applications of the Internet)
• High Speed and High Accuracy Rough Classification for Handwritten Characters Using Hierarchical Learning Vector Quantization

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