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- W2511184460 abstract "Present feature selection algorithm is very complex and not accurate enough. So this paper uses SFFS (Sequential Floating Forward Selection) algorithm to implement feature selection of target image. SFFS includes two main steps: forward selection and backtrack, it is able to avoid local optimal solution. The judgment basis of two steps is the classification accuracy of target images. SVM (Support Vector Machine) classifier obtains classification accuracy quickly and accurately by training and testing target images. To increase accuracy, this paper uses cross-validation during the classification process." @default.
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- W2511184460 date "2016-07-01" @default.
- W2511184460 modified "2023-09-25" @default.
- W2511184460 title "Feature selection algorithm based on SVM" @default.
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- W2511184460 doi "https://doi.org/10.1109/chicc.2016.7553995" @default.
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