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• W1611188165 abstract "For intelligent vehicle applications, detecting pedestrian technique must be robust and perform in real time. In pedestrian detection, support vector machine (SVM) is one of the popular classifiers because of its robust performance. In this paper, we propose the new method to implement cascade SVM that enables fast rejection of negative samples. The proposed method is tested with INRIA person dataset and show better rejection performance of negative samples than conventional method." @default.
• W1611188165 created "2016-06-24" @default.
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• W1611188165 date "2015-07-01" @default.
• W1611188165 modified "2023-09-27" @default.
• W1611188165 title "New efficient speed-up scheme for cascade implementation of SVM classifier" @default.
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• W1611188165 doi "https://doi.org/10.1109/ijcnn.2015.7280810" @default.
• W1611188165 hasPublicationYear "2015" @default.
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