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- W2144582241 abstract "A method of feature block two-dimensional principal component analysis (FB2DPCA) and multi-classifier combination is proposed for facial expression recognition. First, FB2DPCA is applied to extract human facial expression features, and then the expression classified result is obtained based on multi-classifier fusion with fuzzy integral. This proposed method is validated through the results of experiments on JAFFE facial expression database, and a high recognition rate is also achieved." @default.
- W2144582241 created "2016-06-24" @default.
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- W2144582241 date "2009-01-01" @default.
- W2144582241 modified "2023-09-24" @default.
- W2144582241 title "Facial Expression Recognition Based on FB2DPCA and Multi-classifier Fusion" @default.
- W2144582241 cites W2016648380 @default.
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- W2144582241 doi "https://doi.org/10.1109/icic.2009.200" @default.
- W2144582241 hasPublicationYear "2009" @default.
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