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- W2150702950 abstract "This paper presents a method of detecting faces based on hierarchical Support Vector Machines (SVM). The hierarchical SVM classifier is composed of a Combination of Linear SVM (CLSVM) and a nonlinear SVM. In training stage, the nonlinear SVM is trained under the constraint of the CLSVM to select more effective non-face samples. In detection stage, the CLSVM is used to fast exclude most non-faces in images and the nonlinear SVM is used to verify possible face candidates further. Experimental result on several databases demonstrates the feasibility of the method." @default.
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- W2150702950 date "2003-06-25" @default.
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- W2150702950 title "Face detection based on hierarchical support vector machines" @default.
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- W2150702950 doi "https://doi.org/10.1109/icpr.2002.1044659" @default.
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