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- W1505094151 abstract "The central problem in the case of face detectors is to build a face class model. We present a method for face class modeling in the eigenfaces space using a large-margin classifier like SVM. Two main issues are addressed: what is the required number of eigenfaces to achieve a good classification rate and how to train the SVM for a good generalization. As the experimental evidence show, generally one needs less eigenfaces than usually considered. We will present different strategies for choosing the dimensionality of the PCA space and discuss their effectiveness in the case of face-class modeling." @default.
- W1505094151 created "2016-06-24" @default.
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- W1505094151 date "2003-01-01" @default.
- W1505094151 modified "2023-10-16" @default.
- W1505094151 title "Face Detection Using an SVM Trained in Eigenfaces Space" @default.
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- W1505094151 doi "https://doi.org/10.1007/3-540-44887-x_23" @default.
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