NDLI: Bhattacharyya distance feature selection

Content Provider	IEEE Xplore Digital Library
Author	Xuan Guorong Chai Peiqi Wu Minhui
Copyright Year	1996
Description	Author affiliation: Dept. of Comput. Sci., Tongji Univ., Shanghai, China (Xuan Guorong)
Abstract	A recursive algorithm called Bhattacharyya distance feature selection for selecting a real-optimum feature under normal multidistribution is presented. The key of this method is to change the problem of minimizing the criterion of the sum of the upper bound of error probability of every two class pairs in subspace to a problem of solving a nonlinear matrix equation in a multiclass problem under an orthonormal coordinate system. The recursive algorithm is considered as finding the optimal solution of a transformation matrix from the nonlinear matrix equation. The theoretical analysis and experimental results show that under normal multidistribution the performance of the proposed algorithm is superior to the performance of any previous one.
Starting Page	195
Ending Page	199
File Size	326117
Page Count	5
File Format	PDF
ISBN	081867282X
ISSN	10514651
DOI	10.1109/ICPR.1996.546751
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1996-08-25
Publisher Place	Austria
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Error probability Upper bound Nonlinear equations Scattering Computer science Performance analysis Algorithm design and analysis Pattern recognition Gaussian distribution
Content Type	Text
Resource Type	Article
Subject	Computer Vision and Pattern Recognition

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