Zhu Bilan | Department Of Computer And Information Sciences Tokyo University Of Agriculture And Technology

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概要

• Zhu Bilanの詳細を見る
• 同名の論文著者
• Department Of Computer And Information Sciences Tokyo University Of Agriculture And Technologyの論文著者

関連著者

• Zhu Bilan

  Department Of Computer And Information Sciences Tokyo University Of Agriculture And Technology

• Nakagawa Masaki

  Department Of Computer And Information Sciences Tokyo University Of Agriculture And Technology

• Nakagawa Masaki

  Tokyo Univ. Agriculture And Technol. Tokyo Jpn

• Saysourinhong Latsamy

  Department Of Computer Sciences Tokyo University Of Agriculture And Technology

• CHENG Cheng

  Department of Agricultural Chemistry, Faculty of Agriculture, Ibaraki University

• Zhu Bilan

  Tokyo Univ. Agriculture And Technol. Tokyo Jpn

• Zhu Bilan

  Department Of Computer Sciences Tokyo University Of Agriculture And Technology

• Nakagawa Masaki

  Department Of Computer Sciences Tokyo University Of Agriculture And Technology

• SAYSOURINHONG Latsamy

  Department of Computer Sciences, Tokyo University of Agriculture and Technology

• LUANGVILAY Pasitthideth

  Department of Computer and Information Sciences, Tokyo University of Agriculture and Technology

• Luangvilay Pasitthideth

  Department Of Computer And Information Sciences Tokyo University Of Agriculture And Technology

• ZHU Bilan

  Department of Computer Sciences, Tokyo University of Agriculture and Technology

• ZHU Bilan

  Department of Computer Sciences,Tokyo University of Agriculture and Technology

• Govindaraju Venu

  Center for Unified Biometrics and Sensors

• Shivram Arti

  Center for Unified Biometrics and Sensors

• Setlur Srirangaraj

  Center for Unified Biometrics and Sensors

• NAKAGAWA Masaki

  Department of Computer Sciences,Tokyo University of Agriculture and Technology

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著作論文

• Online handwritten character recognition by MRF for Lao characters (パターン認識・メディア理解)
• A text search method based on directional feature matching (パターン認識・メディア理解)
• Online Handwritten Lao Character Recognition by MRF
• Digital Ink Search Based on Character-Recognition Candidates Compared with Feature-Matching-Based Approach
• Segmentation-free MRF Recognition Method in Combination with P2DBMN-MQDF for Online Handwritten Cursive Word

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