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Research Goal

Computational Modeling of Information Processing of Human Brain

  Research Fields

    ▪ Machine learning                                          Artificial Intelligence                                                           Neural Networks

    ▪ Pattern Recognition                                     Computer Vision                                                                 Biometrics

    ▪ Brain Science                                               Cognitive Science                                                              Statistics

Research Projects

    ▪ Design an intelligence information processing systems

     Probabilistic modeling of human visual information processing and applications

    to image data analysis (Funded by KOSEF, 090501~120430)

    ▪ Feature extraction for pattern recognition

    Nonlinear Manifold learning with sensational distance and conceptual distance and

    its application to image analysis (Funded by KOSEF, 090501~100430)

    ▪ New learning methods and applications

    Development of data mining system for large-scale rarely labelled data and

    its application to bio-data classification (Funded by KOSEF, 070901~100831)

    ▪ Theoretical analysis on behavior of learning algorihtms

    Study on Effect of Geometrical Singularity on Dynamics of Learning Machines

    (Funded by KOSEF, 050701~080630, Collaborated with Tokai Univ. in Japan)

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