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Learning cascaded reduced-set SVMs using linear programming

Conference Paper


Abstract


  • This paper proposes a simple and efficient detection frame-

    work that uses reduced-set kernels. We first describe our

    approach which reduces the number of kernels. A con-

    vex optimization method is used for calculating the reduced

    sets. Following this, we propose a method that optimally

    designs the cascade. Our experimental results indicate that

    our method minimizes complexity regarding the number of

    kernels in the cascaded structure while preserving the low

    error rates. Our algorithm generates the optimal weight of

    kernels for each cascade stage. This proposed algorithm

    achieves high detection-rates at low computational cost.

Authors


  •   kim, junae (external author)
  •   Shen, Chunhua (external author)
  •   Wang, Lei

Publication Date


  • 2008

Citation


  • kim, J., Shen, C. & Wang, L. (2008). Learning cascaded reduced-set SVMs using linear programming. Proceedings of International Conference on Digital Image Computing - Techniques and Applications (DICTA) (pp. 619-626). Australia: IEEE.

Scopus Eid


  • 2-s2.0-67549088178

Ro Metadata Url


  • http://ro.uow.edu.au/eispapers/608

Start Page


  • 619

End Page


  • 626

Abstract


  • This paper proposes a simple and efficient detection frame-

    work that uses reduced-set kernels. We first describe our

    approach which reduces the number of kernels. A con-

    vex optimization method is used for calculating the reduced

    sets. Following this, we propose a method that optimally

    designs the cascade. Our experimental results indicate that

    our method minimizes complexity regarding the number of

    kernels in the cascaded structure while preserving the low

    error rates. Our algorithm generates the optimal weight of

    kernels for each cascade stage. This proposed algorithm

    achieves high detection-rates at low computational cost.

Authors


  •   kim, junae (external author)
  •   Shen, Chunhua (external author)
  •   Wang, Lei

Publication Date


  • 2008

Citation


  • kim, J., Shen, C. & Wang, L. (2008). Learning cascaded reduced-set SVMs using linear programming. Proceedings of International Conference on Digital Image Computing - Techniques and Applications (DICTA) (pp. 619-626). Australia: IEEE.

Scopus Eid


  • 2-s2.0-67549088178

Ro Metadata Url


  • http://ro.uow.edu.au/eispapers/608

Start Page


  • 619

End Page


  • 626