MURASE Hiroshi | Graduate School of Information Science, Nagoya University
スポンサーリンク
概要
関連著者
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MURASE Hiroshi
Graduate School of Information Science, Nagoya University
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Murase Hiroshi
Graduate School Of Information Science Nagoya University
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Ide Ichiro
Graduate School Of Information Science Nagoya University
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Takahashi Tomokazu
Graduate School Of Information Science Nagoya University:faculty Of Economics And Information Gifu Shotoku Gakuen University
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TAKAHASHI Tomokazu
Graduate School of Information Science, Nagoya University
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IDE Ichiro
Graduate School of Information Science, Nagoya University
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Murase Hiroshi
Department Of Media Science Graduate School Of Information Science Nagoya University
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Ide Ichiro
Department Of Media Science Graduate School Of Information Science Nagoya University
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Takahashi Tomokazu
Faculty Of Economics And Information Gifu Shotoku Gakuen University
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LI Xi
Graduate School of Information Science, Nagoya University
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LI Xi
Graduate School of Agriculture, Hokkaido University
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Ishida Hiroyuki
Graduate School Of Agricultural Science Tohoku University
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Okuma Shigeru
Graduate School Of Engineering Nagoya University
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KAMIYA Yasunori
Graduate School of Information Science, Nagoya University
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YANO Yoshikazu
Electronics Course, Aichi Institute of Technology
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Yano Yoshikazu
Electronics Course Aichi Institute Of Technology
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MEKADA Yoshito
Life System Science and Technology, Chukyo University
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Deguchi Daisuke
Graduate School of Information Science, Nagoya University
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Deguchi Daisuke
Graduate School Of Information Science Nagoya University
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Kamiya Yasunori
Graduate School Of Information Science Nagoya University
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Mekada Yoshito
Life System Science And Technology Chukyo University
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Ishida Hiroyuki
Graduate School Of Information Science Nagoya University
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Li Xi
Graduate School Of Information Science Nagoya University
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DEGUCHI Daisuke
Information and Communications Headquarters, Nagoya University
著作論文
- Combining Three Different Types of Local Features for Generic Object Recognition(International Session 1)
- Generation of Training Data by Degradation Models for Traffic Sign Symbol Recognition(Image Recognition and Understanding)
- Appearance Manifold with Covariance Matrix for 3-D Object Recognition(CV)
- Face recognition based on virtual frontal view generation using LVTM with local patches clustering
- Cross-Pose Face Recognition — A Virtual View Generation Approach Using Clustering Based LVTM