A Fuzzy Kernel Maximum Margin Criterion for Image Feature Extraction
نویسندگان
چکیده
منابع مشابه
Kernel-based feature extraction under maximum margin criterion
In this paper, we study the problem of feature extraction for pattern classification applications. RELIEF is considered as one of the best-performed algorithms for assessing the quality of features for pattern classification. Its extension, local feature extraction (LFE), was proposed recently and was shown to outperform RELIEF. In this paper, we extend LFE to the nonlinear case, and develop a ...
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Article history: Received 28 July 2008 Received in revised form 2 March 2009 Accepted 9 March 2009
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متن کاملComments on "Efficient and Robust Feature Extraction by Maximum Margin Criterion"
The goal of this comment is to first point out two loopholes in the paper by Li et al. (2006): 1) so-designed efficient maximal margin criterion (MMC) algorithm for small sample size (SSS) problem is problematic and 2) the discussion on the equivalence with the null-space-based methods in SSS problem does not hold. Then, we will present a really efficient MMC algorithm for SSS problem.
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ژورنال
عنوان ژورنال: Mathematical Problems in Engineering
سال: 2015
ISSN: 1024-123X,1563-5147
DOI: 10.1155/2015/641510