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• W2483794834 abstract "Facial expression recognition is an important research domain in developing human-machine relations. This paper proposes a facial expression recognition system. This system is built using Constrained Local Models to fit the shapes on a face image and on Support Vector Machines (SVMs) to detect the face expressions. Different SVM architectures and trainings have been used including applying outliers filtering to obtain better recognition rates." @default.
• W2483794834 created "2016-08-23" @default.
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• W2483794834 date "2016-05-01" @default.
• W2483794834 modified "2023-09-26" @default.
• W2483794834 title "Facial expression recognition system based on a face statistical model and Support Vector Machines" @default.
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• W2483794834 doi "https://doi.org/10.1109/saci.2016.7507341" @default.
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