Aomori Hisashi | Department Of Electrical And Electronics Engineering Sophia University
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概要
関連著者
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Aomori Hisashi
Department Of Electrical And Electronics Engineering Sophia University
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Otake Tsuyoshi
Department Of Media-network Science Tamagawa University
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Aomori Hisashi
Tokyo Univ. Sci. Chiba Jpn
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TANAKA Mamoru
Department of Electrical and Electronics Engineering, Sophia University
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Tanaka Mamoru
Department Of Electrical And Electronics Engineering Sophia University
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Tanaka Mamoru
Department Of Applied Chemistry Kobe City College Of Technology
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Otake Tsuyoshi
Department of Media-Network Science, Tamagawa University
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Takahashi Nobuaki
IBM Global Engineering Solutions, IBM Japan, Ltd.
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Tanaka Mamoru
Sophia University
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Tanaka M
Department Of Electrical And Electronics Engineering Sophia University
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Sato Masatoshi
Department Of Electrical And Electronics Engineering Sophia University
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Takahashi Nobuaki
Ibm Global Engineering Solutions Ibm Japan Ltd.
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SATO Masatoshi
Department of Physics,Division of Material Science,Nagoya University
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YAMAUCHI Masayuki
Department of Electrical and Electronics Engineering, Sophia University
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Aomori Hisashi
Department of Electrical and Electronics Engineering, Sophia University
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KAWAKAMI Kohei
Department of Electrical and Electronics Engineering, Sophia University
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TAKAHASHI Nobuaki
IBM Engineering & Technology Services, IBM Japan, Ltd.
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Yamauchi Masayuki
Department Of Electrical And Electronics Engineering Faculty Of Science And Technology Sophia Univer
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Yamauchi M
Department Of Electrical And Electronics Engineering Sophia University
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Yamauchi Masayuki
Department Of Electrical And Electronics Engineering Sophia University
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Kawakami Kohei
Department Of Electrical And Electronics Engineering Sophia University
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Sato Masatoshi
Department Of Agro-environmental Science Obihiro University Of Agriculture And Veterinary Medicine
著作論文
- AS-3-5 Sigma-Delta Modulation by Cellular Neural Network
- Lossless parallel image coding using multi-template DT-CNN (Special section on papers awarded the student paper award at NCSP'07)
- Separable 2D Lifting Using Discrete-Time Cellular Neural Networks for Lossless Image Coding(Nonlinear Theory and its Applications)
- Maximum-Flow Neural Network : A Novel Neural Network for the Maximum Flow Problem
- Finding an optimal path for resistive network having temporally changing resistance by winner take all circuit (Special section on papers awarded the student paper award at NCSP'07)
- Lossless parallel image coding based on lifting scheme using discrete-time cellular neural network having multi-templates (Special issue on nonlinear circuits and signal processing)