.

期刊論文

• H.-K. Pao, K.-T. Chen and H.-C. Chang.
  "Game Bot Detection via Avatar Trajectories Analysis",
  IEEE Transactions on Computational Intelligence and AI in Games, Vol. 2, no. 3, Sep. 2010.
   

• N. Rubin, H.-K. Pao and D. Geiger.
  "How do Convexity and Size Affect Figure/Ground Resolution? Theory and Experiments",
  Investigative Ophthalmology and Visual Science, 41 (4): 2330B576 Suppl. S Mar 15 2000. [SCI]

  會議論文

  • Chien-Chung Chang, Yuh-Jye Lee, and Hsing-Kuo Pao "A Passive-Aggressive Algorithm for Semi-supervised Learning",
    The 2010 Conference on Technologies and Applications of Artificial Intelligence (TAAI 2010), Taipei, Nov. 2010
     

  • Hsing-Kuo Pao, Ching-Hao Mao, Hahn-Ming Lee, Chi-Dong Chen, and Christos Faloutsos
    "An Intrinsic Graphical Signature Based on Alert Correlation Analysis for Intrusion Detection"
    The 2010 Conference on Technologies and Applications of Artificial Intelligence (TAAI 2010), Taipei, Nov. 2010
     

  • J. C.-H. Tseng, H.-K. Pao, and C. Faloutsos.
    "The Typhoon Track Classification Using Tri-plots and Markov Chain",
    2nd International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, Valencia, Spain, Oct. 2010.
     

  • C.-H. Mao, H.-K. Pao, C. Faloutsos, and H.-M. Lee.
    "SBAD: Sequence Based Attack Detection via Sequence Comparison",
    ECML/PKDD Workshop on Privacy and Security issues in Data Mining and Machine Learning, Barcelona, Spain, Sep. 2010.
     

  • H.-K. Pao, H-Y. Lin, K.-T. Chen, and J. Fadlil.
    "Trajectory Based Behavior Analysis for User Verification",
    11th International Conference on Intelligent Data Engineering and Automated Learning, Paisley, Scotland, UK, Sep. 2010.[LNCS]
     

  • Y.-T. Wu, S.-J. Lin, E.-S. Liu, H.-K. Pao, C.-H. Mao and H.-M. Lee.
    "Cross-Site Scripting Attack Detection Based on Hidden Markov Model",
    National Computer Symposium (NCS), 2009.
     

  • H.-S. Lin, H.-K. Pao, C.-H. Mao, H.-M. Lee, T. Chen and Y.-J. Lee.
    "Adaptive Alarm Filtering by Causal Correlation Consideration in Intrusion Detection",
    First KES International Symposium on Intelligent Decision Technologies (IDT), 2009.
     

  • K.-T. Chen, H.-K. Pao and H.-C. Chang.
    "Game Bot Identification Based on Manifold Learning" (pdf),
    7th Workshop on Network and Systems Support for Games (NetGames), Worcester, Massachusetts, USA, Oct. 21 - 22, 2008. [ACM]
     

  • K.-T. Chen, A. Liao, H.-K. Pao and H.-H. Chu.
    "Game Bot Detection Based on Avatar Trajectory" (pdf),
    7th International Conference on Entertainment Computing, Pittsburgh, USA, Sep. 25 - 27, 2008. [LNCS]
     

  • H.-K. Pao, S.-C. Chang and Y.-J. Lee.
    "Model Trees for Classification of Hybrid Data Types" (pdf),
    6th International Conference on Intelligent Data Engineering and Automated Learning, Queensland, Australia, July 2005.
     

  • H.-K. Pao and J. Case.
    "Computing Entropy for Ortholog Detection" (pdf),
    International Conference on Computational Intelligence, Istanbul, Turkey, December 2004.
     

  • Y. Lin, J. Case, H.-K. Pao and J. Burnside.
    "Predicted Secondary Structure Slightly Enhances Ortholog Detection",
    The 8th International Conference on Research in Computational Molecular Biology, San Diego, USA March 2004.
     

  • C. Yap, H. Biermann, A. Hertzman, C. Li, J. Meyer, H.-K. Pao and S. Paxia.
    "A Different Manhattan Project: Automatic Statistical Model Generation" (gzipped postscript),
    Proc. of the 14th Symposium on Electronic Imaging, IS&T/SPIE, San Jose, California, USA, January 2002.
     

  • H.-K. Pao and D. Geiger.
    "A Continuous Shape Descriptor by Orientation Diffusion" (gzipped postscript),
    The 3rd International Workshop on EMMCVPR, France, September 2001.
     

  • H.-K. Pao, D. Geiger and N. Rubin.
    "Measuring Convexity for Figure/Ground Separation" (gzipped postscript),
    IEEE International Conference on Computer Vision, Kerkyra, Greece, September 1999.
     

  • D. Geiger, Krishnan Kumaran, H.-K. Pao and N. Rubin.
    "The Shape of Illusory Figures",
    IEEE Signal Processing Society, International Conference on Image Processing, Kobe, Japan, October 1999.
     

  • D. Geiger, H.-K. Pao and N. Rubin.
    "Salient and Multiple Illusory Surfaces" (gzipped postscript),
    IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Santa Barbara, California, USA, June 1998

 書籍章節

• Y.-J. Lee, Y-R. Yeh and H.-K. Pao.
  "Introduction to Support Vector Machines and their Applications in Bankruptcy Prognosis",
  in J.-C. Duan, J. E. Gentle, and W. Hardle (editors),
  Handbook of Computational Finance, Data Visualization, Springer-Verlag, 2010.

• Y.-C. Chang, Y.-J. Lee, H.-K. Pao, M.-H. Lee and S.-Y. Huang.
  "Data Visualization via Kernel Machines",
  in C.-H. Chen, W. Hardle and A. Unwin (editors),
  Handbook of Computational Statistics (Volume III), Data Visualization, Springer-Verlag, New York, 2006.

Dissertation

• H.-K. Pao
  Doctoral Dissertation,
  "A Continuous Model for Salient Shape Selection and Representation", New York University, April 2001.
    Abstract   Compressed PostScript     PDF
                       (3.5Mb)->(27.9Mb)     (4.5Mb)

Other Interesting Works

1.Computer Graphics and Animation
2.Shape Selection and Representation
3.The Different Manhattan Project