仲尾 善勝 | Faculty Of Engineering Univ. Of The Ryukyus
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概要
関連著者
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仲尾 善勝
琉球大学電気電子工学科
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仲尾 善勝
Faculty Of Engineering Univ. Of The Ryukyus
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Nakao Z
Univ. Ryukyus Okinawa Jpn
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Chen Y‐w
Faculty Of Engineering University Of The Ryukyus
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Chen Yen-wei
Faculty Of Engineering Univ. Of The Ryukyus:institute Of Computational Scienceand Engineering Ocean
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Chen Y‐w
Department Of Electrical And Electronic Engineering Faculty Of Engineering University Of The Ryukyus
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陳 延偉
Coll. Of Information Sci. And Engineering Ritsumeikan Univ. 525-8577 Jpn
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陳 延偉
立命館大学情報理工学部
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陳 延偉
立命館大学大学院理工学研究科
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陳 延偉
琉球大学工学部
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Chen Yen-wei
Department Of Electrical And Electronic Engineering University Of Ryukyu
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Chen Yen-wei
Faculty Of Engineering University Of The Ryukyus
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NAKAO Zensho
Faculty of Engineering, University of the Ryukyus
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Nakao Zensho
Faculty Of Engineering University Of The Ryukyus
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陳 延偉
立命館大学理工学部
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Zeng Xiang-yan
Faculty Of Engineering Univ. Of The Ryukyus
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陳 延偉
立命館大学大学院
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仲尾 善勝
琉球大
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陳 延偉
琉球大学 工学部
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仲尾 善勝
琉球大学工学部電気電子工学科
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Arakaki Kouichi
Faculty Of Engineering University Of The Ryukyus
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岸本 啓作
琉球大学工学部 電気電子工学科
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陳 延偉
琉球大
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田村 進一
阪大基礎工学部
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田村 進一
エヌビイエル株式会社
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Hien Thai
Faculty Of Engineering University Of The Ryukyus
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田村 進一
阪大・医
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Matsuo Kazu
Faculty Of Engineering University Of The Ryukyus
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松尾 和典
熊本電波工業高等専門学校
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Matsuo Kazunori
Faculty Of Engineering University Of The Ryukyus
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Wang Ning
The Authors Are With The Department Of Electrial And Electronices Engineering Faculty Of Engineering
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LU Hanqing
National Lab of Patt. Recog. Institute Automation, China Academy of Science
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曽 湘燕
琉球大学理工学研究科
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Lu Hanqing
National Laboratory Of Pattern Recognition Institute Of Automation Chinese Academy Of Sciences
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Wang N
Ocean Univ. China Qingdao Chn
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Lu Hanqing
National Lab Of Patt. Recog. Institute Automation China Academy Of Science
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岸本 啓作
琉球大
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岸本 啓作
琉球大学工学部電気電子工学科
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NAKAO Zensho
The authors are with the Department of EEE, Faculty of Engineering, University of the Ryukyus
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CHEN Yen-Wei
The authors are with the Department of EEE, Faculty of Engineering, University of the Ryukyus
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OHKAWA Izuru
The author is with Advanced Applications, Inc.
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Matsuo Kazu
Faculty of Engineering, University of the Ryukyus
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曽 湘燕
琉球大学工学部電気電子工学科
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ARAKAKI Kouichi
Faculty of Engineering, University of the Ryukyus
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Ohkawa Izuru
The Author Is With Advanced Applications Inc.
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Matsuo Kazunori
Department Of Electronic Engineering Kumamoto National College Of Technology
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Wang Ning
Department Of Physics Ocean University Of China:department Of Physics Graduate School Of Science Uni
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YAMASHITA Katsumi
the Faculty of Engineering, University of the Ryukyus
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山下 勝己
琉球大
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山下 勝己
大阪府立大学大学院 工学研究科
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新川 博
琉球大
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新川 博
琉球大学工学部電気電子工学科
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Yamashita K
Univ. Ryukyu
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CHEN Yen-Wei
the Faculty of Engineering, University of the Ryukyus
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AKAWA Hiroshi
the Faculty of Engineering, University of the Ryukyus
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NAKAO Zensho
the Faculty of Engineering, University of the Ryukyus
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KODAMA Ryousuke
Instiute of Laser Engineering, Osaka University
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新垣 晃一
琉球大
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新垣 晃一
琉球大学工学部電気電子工学科
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CHENG Jian
National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences
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Chen Yen-Wei
Department of Electrical and Electronic Engineering, Faculty of Engineering, University of the Ryuky
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Sulistiyo Sulistiyo
Faculty of Engineering, University of the Ryukyus
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ALI Fath
The authors are with the Department of EEE, Faculty of Engineering, University of the Ryukyus
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MATSUO Kazunori
The authors are with the Department of EEE, Faculty of Engineering, University of the Ryukyus
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Cheng Jian
National Laboratory Of Pattern Recognition Institute Of Automation Chinese Academy Of Sciences
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北畠 憲俊
琉球大学工学部
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YAMAUCHI Shinichiro
The authors are with the Department of Electrial and Electronices Engineering, Faculty of Engineerin
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Hien Thai
Facuhy of Engineering, University of the Ryukyus
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Nakao Zensho
Facuhy of Engineering, University of the Ryukyus
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Chen Yen-Wei
Facuhy of Engineering, University of the Ryukyus
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Matsuo Kazu
Facuhy of Engineering, University of the Ryukyus
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Sulistiyo Sulistiyo
Faculty Of Engineering University Of The Ryukyus
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Chen Yen-wei
Department Of Electrical And Electronic Engineering Faculty Of Engineering University Of The Ryukyus
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TAMURA Shinichi
Medical School, Osaka University
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NAKAO Zensho
Department of Electrical and Electronic Engineering, Faculty of Engineering, University of the Ryuky
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ARAKAKI Kouichi
Department of Electrical and Electronic Engineering, Faculty of Engineering, University of the Ryuky
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Yamashita K
Osaka Prefecture Univ. Sakai‐shi Jpn
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Yamauchi Shinichiro
The Authors Are With The Department Of Electrial And Electronices Engineering Faculty Of Engineering
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Ali F
The Authors Are With The Department Of Eee Faculty Of Engineering University Of The Ryukyus
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Nakao Zensho
Department Of Electrical And Electronic Engineering Faculty Of Engineering University Of The Ryukyus
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Nakao Zensho
The Faculty Of Engineering University Of The Ryukyus
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Akawa Hiroshi
The Faculty Of Engineering University Of The Ryukyus
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新垣 晃一
Faculty Of Engineering University Of The Ryukyus
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Tamura S
Fukui Univ. Fukui‐shi Jpn
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Kodama Ryousuke
Instiute Of Laser Engineering Osaka University
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Kodama R.
Natl. Inst. For Basic Biol
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ALI Fathelalem
Dept.of Management & Information Sciences, Meio University
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NAKAO Zensho
Dept.of EEE, University of the Ryukyus
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TAN Richard
Dept.of Computer Science, University of Utrecht, The Netherland
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Tan Richard
Dept.of Computer Science University Of Utrecht The Netherland
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Ali Fathelalem
Dept.of Management & Information Sciences Meio University
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Yamashita K
Univ. Ryukyus
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Kodama Ryousuke
Institute of Laser Engineering, Osaka University, Yamada-oka 2-6, Suita, Osaka 565-0871, Japan
著作論文
- 4)適応的窓幅をもつ雑音除去フィルタの半影カメラへの応用(ヒューマンインフォメーション研究会)
- Application of a Noise-Smoothing Filter Based on Adaptive Windowing to Penumbral Imaging
- 9)遺伝的アルゴリズムによるblind deconvolution(ヒューマンインフォメーション研究会)
- 5)URAコーデド・アパーチャー・イメージングに関する研究(ヒューマンインフォメーション研究会)
- A New Texture Feature Based on PCA Pattern Maps and Its Application to Image Retrieval
- A Data Fitting System for High Frequency Dynamical Systems by Genetic Programming, Simulated Annealing, and Adaptive Neuro Fuzzy Inference System
- An Adaptive Backpropagation Algorithm for Limited-Angle CT Image Reconstruction (Special Section of Papers Selected from ITC-CSCC'99)
- A Fast Kinoform Optimization Algorithm Based on simulated Annealing
- Synthesis of binary computer-generated holograms based on a coding and frequency domain optimization algorithm
- A Hybrid EA Approach to Multisensor Image Superresolution
- A Hybrid Optimization Method Using a Real-coded Multi-parent GA, Simplex & Simulated Annealing with Applications in Resolution of Overlapped Signals
- AN APPLICATION OF THE PRINCIPAL COMPONENT ANALYSIS TO DIGITAL WATERMARKING
- AN APPLICATION OF THE PRINCIPAL COMPONENT ANALYSIS TO DIGITAL WATERMARKING
- AN APPLICATION OF THE PRINCIPAL COMPONENT ANALYSIS TO DIGITAL WATERMARKING
- Independent Component Analysis for Color Indexing(Pattern Recognition)
- ニューラルネットワークによるテクスチャ画像のセグメンテーション
- 遺伝的アルゴリズムを用いた高階統計量に基づくブラインド信号分離
- NLP2000-26 / NC2000-20 遺伝的アルゴリズムを用いた高階統計量に基づくブラインド信号分離
- 琉球大学地理情報システムの構築(1) -アプリケーションソフトの開発-
- 反復法によるURAトモグラフィックイメージの画質改善
- 琉球大学地理情報システムの開発2 : 地図データの数値化
- ハイブリッドGA/SAによる画像復元
- Edge Detection by Pattern Matching Based on Principal Component Analysis
- A Logical Operator Based Genetic Operator
- Independent Component Analysis by Evolutionary Neural Networks
- Reconstruction of CT Images by the Back-Propagation Algorithm
- An Adaptive Simulated Annealing Applied to Optimization of Phase Distribution of Kinoform
- Penumbral Imaging of Laser-Imploded Targets and Its Blind Reconstruction
- Blind Deconvolution Based on Genetic Algorithms
- A Noise-Smoothing Filter Based on Adaptive Windowing and Its Application to Penumbral Imaging
- Tomographic Resolution of URA Coded Aperture Imaging and Its Enhancement
- Application of Genetic Algorithm to Neutron Penumbral Imageing
- Genetic Algorithms Applied to Neutron Penumbral Imaging
- Blind Deconvolution Based on Genetic Algorithms
- An Application of Automaton Neural Networks to Artificial Agents
- 反復解法による3次元画像再構成の高精度化
- An Evolutionary Algorithm for Graph Coloring Problems
- A study on adaptive complex systems under some simple conditions
- An Evolutionary Approach to CT Image Reconstruction
- Three New Soft Computing Approaches to Two-Dimensional CT Image Reconstruction : A Comparative Study
- 11)URAカメラのトモグラフィック分解能とその改善(〔情報センシング研究会 情報ディスプレイ研究会〕)
- URAカメラのトモグラフィク分解能とその改善
- URAカメラのトモグラフィク分解能とその改善