Kameyama Keisuke

Researcher's full information

Articles
  • Comparison of local higher-order moment kernel and conventional kernels in SVM for texture classification
    Kameyama Keisuke
    Lecutre Notes in Computer Science (Proc. 14th International Conference on Neural Information Processing (ICONIP’07))/4984(Part I)/pp.851-860, 2008-01
  • Relevance Optimization in Image Database using Feature Space Preference Mapping and Particle Swarm Optimization
    Mayuko Okayama; Nozomi Oka; 亀山 啓輔
    Proceedings of 14th International Conference on Neural Information Processing (ICONIP’07), LNCS/4985/pp.608-617, 2008-01
  • Comparison of Local Higher-Order Moment Kernel and Conventional Kernels in SVM for Texture Classification
    Keisuke Kameyama
    Proceedings of 14th International Conference on Neural Information Processing (ICONIP’07), LNCS/4984/p.852-860, 2007-11
  • Optimization of Similarity Evaluation Algorithm Using Relevance Feedback in Content-Based Image Retrieval
    岡 望実; 亀山 啓輔; 寅市 和男
    Journal of Japan Society for Fuzzy Theory and Intelligent Informatics/19(5)/pp.524-536, 2007-10
  • 高次モーメントスペクトルカーネルを用いたサポートベクトルマシンによる信号分類
    亀山 啓輔
    Risk engineering/3(0)/pp.29-34, 2007-03
  • Image resolution conversion based on an edge-adaptive interpolation kernel
    Mori Takashi; Kameyama Keisuke; Ohmiya Yasuhiro; Lee Jia; Tor...
    IEEE PACIFIC RIM CONFERENCE ON COMMUNICATIONS, COMPUTERS AND SIGNAL PROCESSING/pp.497-500, 2007-01
  • Content-Based Image Retrieval of Kaou Images by Relaxation Matching of Region Features
    K. Kameyama; S.-N. Kim; M. Suzuki; K. Toraichi; +山本 隆志
    International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems/14(4)/p.509-523, 2006-08
  • Hardware Implementation Method of TV Picture Quality Enhancement by Fluency Interpolation(Image Processing and Coding)
    大宮 康宏; 寅市 和男; 三浦 康之; 喜多村 守; 岡本 明; 和田 耕一; 亀山 啓輔; 諸岡 泰男
    The journal of the Institute of Image Information and Television Engineers/60(7)/pp.1042-1050, 2006-07
  • B-19-14 Consideration concerned with construction of theoretical model for description ubiquitous cloud (Ver.1)
    丹羽 美由紀; 紙名 哲生; 武 徳安; 亀山 啓輔; 片岸 一起; 寅市 和男; 村上 仁己; 大橋 正良
    Proceedings of the IEICE General Conference/2006(2)/p.555, 2006-03
  • Matched Filter Design by Fluency Analysis for a More Accurate Fundus Image Blood-Vessel Extraction
    K. Sheng; K. Kameyama; K. Katagishi; and K. Toraichi
    The 4th IASTED International Conference on Biomedical Engineering/p.Paper no. 519-088, 2006-02
  • Image Resolution Conversion by Optimized Adaptation of Interpolation Kernels
    A. Fujii; K. Kameyama; T. Kamina; Y. Ohmiya; and K. Tora...
    The 3rd IASTED International Conference on Signal Processing, Pattern Recognition, and Applications/p.Paper no. 520-051, 2006-02
  • An Image Segmentation Method for Function Approximation of Gradation Images
    K. Miyamoto; T. Kamina; T. Sugiyama; K. Kameyama; and K....
    The 3rd IASTED International Conference on Signal Processing, Pattern Recognition, and Applications/p.Paper no. 520-057, 2006-02
  • Optimal parameter selection in image similarity evaluation algorithms using Particle Swarm Optimization
    Kameyama Keisuke; Oka Nozomi; Toraichi Kazuo
    Proceedings of 2006 IEEE Congress on Evolutionary Computation/pp.3824-3831, 2006-01
  • Image Enhancement Using Multiple Video Frames and Non-uniform Fluency Interpolation
    K. Hirano; K. Kameyama; Y. Ohmiya; K. Toraichi
    Proc. 4th IASTED International Conference on Communications, Internet and Information Technology 2005/p.Paper no. 496-073, 2005-10
  • Content-Based Image Retrieval of Kaou Images by Region Characterization and Probabilistic Relaxation
    K. Kameyama; S-N. Kim; K. Toraichi; T. Yamamoto
    Proc. Modeling Decisions in Artificial Intelligence (MDAI 2005)/p.Paper no.109, 2005-07
  • Feature Extraction of Hyperspectral Data for under Spilled Blood Visualization Using Particle Swarm Optimization
    S. T. Monteiro; K. Uto; Y. Kosugi; N. Kobayashi; E. Wata...
    International Journal of Bioelectromagnetism/17(1)/p.1-4, 2005-07
  • Feature Extraction of Hyperspectral Data for under Spilled Blood Visualization Using Particle Swarm Optimization
    S. T. Monteiro; K. Uto; Y. Kosugi; N. Kobayashi; E. ...
    Joint Meeting of 5th Int'l Conf. on Bioelectromagnetism and 5th Int'l Symp. on Noninvasive Functional Source Imaging within the Human Brain and Heart (BEM&NFSI), 2005-02
  • Content-Based Retrieval of Kamon Images by Image Smoothing and Relaxation
    T. Tachikawa; K. Kameyama; T. Kawabe; K. Toraichi; N. Ot...
    Proc. IASTED International Conference on Modeling, Identification and Control (MIC)/p.Paper no. 457-174, 2005-02
  • Image Interpolation Using Feedforward Neural Network
    H. Aokage; K. Kameyama; K. Wada
    Proc. IASTED International Conference on Artificial Intelligence and Applications (AIA) 2005/p.Paper no. 453-314, 2005-02
  • Human Perception Model for Ultrasonic Difference Tones
    T. Sugimoto; T. Kawabe; K. Kameyama; K. Toraichi
    Proc. IASTED International Conference on Modeling, Identification and Control (MIC) 2005/p.457-170, 2005-02
  • A Shape-Directed Scaling Method for Fundus Image with Maintenance to Blood-Vessel Shapes and Color Reality
    Sheng Kai; Kameyama Keisuke; Toraichi Kazuo; Mitamura Yo...
    IEEJ Transactions on Electronics, Information and Systems/125(9)/pp.1399-1407, 2005-01
  • Texture Classification by Support Vector Machines with Kernels for Higher-Order Gabor Filtering
    K. Kameyama; K. Taga
    Proc. International Joint Conference on Neural Networks 2004 (Budapest)/4/p.3009-3014, 2004-07
  • Approximate Query Processing for a Content-Based Image Retrieval Method
    P. W. H. Kwan; K. Toraichi; H. Kitagawa; K. Kameyama
    DEXA 2003, LNCS 2736/p.517-526, 2003-09
  • A system for Content-Retrieval and Browsing of Kaou Monogram Images using Contour and Color Characteristics
    S-N. Kim; M. Suzuki; K. Kameyama; K. Toraichi; Takashi Y...
    Proc. 2003 IEEE Pacific Rim Conference on Communications, Computers and Signal Processing/p.844-847, 2003-08
  • Regularization of Hidden Layer Unit Response for Neural Networks
    K. Taga; K. Kameyama; K. Toraichi
    Proc. 2003 IEEE Pacific Rim Conference on Communications, Computers and Signal Processing/p.348-351, 2003-08
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