• Infrared and Laser Engineering
  • Vol. 32, Issue 1, 17 (2003)
[in Chinese]* and [in Chinese]
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  • [in Chinese]
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    [in Chinese], [in Chinese]. Improvement and comparative analysis of B&B algorithm in feature selection[J]. Infrared and Laser Engineering, 2003, 32(1): 17 Copy Citation Text show less
    References

    [1] Dash M, Liu H. Feature selection for classification[J]. Intelligent Data Analysis - An International Journal, Elsevier, 1997, 1(3).

    [2] Pudil P, Novovicová J, Somol P. Feature selection toolbox software package[J]. Pattern Recognition Letters, 2002, (4):487-492.

    [3] Narendra P M, Fukunaga K. A branch and bound algorithm for feature subset selection[J]. IEEE Transactions on Computers, 1977, 26:917-922.

    [4] Yu B, Yuan B. A more efficient branch and bound algorithm for feature selection[J]. Pattern Recognition, 1993, 26:883-889.

    [5] Somol P, Pudil P, Ferri F J, et al. Fast Branch & Bound algorithm for feature selection[A]. Invited paper for the 4th World Multiconference on Systemics, Cybernetics and Informatics[C]. 2000. 646-651.

    [6] Somol P, Pudil P, Grim J. Branch & Bound algorithm with partial prediction for use with recursive and non-recursive criterion forms[A]. Accepted to the Int Conf on Advances in Pattern Recognition[C]. 2001.

    [7] Fukunaga K. Introduction to Statistical Pattern Recognition: 2nd edition[M]. New York: Academic Press, Inc, 1990.

    [in Chinese], [in Chinese]. Improvement and comparative analysis of B&B algorithm in feature selection[J]. Infrared and Laser Engineering, 2003, 32(1): 17
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