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- W2365996883 abstract "The Support Vector Machine(SVM) has shown excellent learning and generalization ability in the practice problems of binary classification,and has been widely employed in multi-class classification.Based on the framework features of the vehicles,the SVM~(★) is used to classify 4 types of vehicles.The results of the SVM~(★) are compared with that of different classifiers.The testing accuracy to this vehicle dataset reaches 85.59% by means of 9-fold cross-validation which demonstrates that the classification performance of SVM~(★) is superior to those of other classifiers." @default.
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- W2365996883 date "2006-01-01" @default.
- W2365996883 modified "2023-10-12" @default.
- W2365996883 title "Vehicle Type Recognition by Using Support Vector Machine SVM" @default.
- W2365996883 hasPublicationYear "2006" @default.
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