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- W2355093229 abstract "Due to the development of human-computer interaction,there has been much interest in facial recognition.Locality Pre- serving Projections (LPP) is a linear projection that arises by solving a variational problem that optimally preserves the neighborhood structure of the data set.LPP is designed for preserving local structure,but it fails to take account of the discriminant information.Thus, Discriminant Locality Preserving Projections (DLPP) is presented in this paper,and it'll be applied to facial expression recognition problem.The improvement of DLPP algorithm over LPP is that discriminant analysis has been introduced into LPP algorithm.By consid- ering both the neighborhood structure of the samples and the neighborhood of the classes,we obtain an optimal projecting direction which can classify the samples more efficiently.A series of experiments were performed on Yale and JAFFE face databases and the result shows that DLPP is more efficient for facial expression recognition problem." @default.
- W2355093229 created "2016-06-24" @default.
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- W2355093229 date "2009-01-01" @default.
- W2355093229 modified "2023-09-25" @default.
- W2355093229 title "Facial Expression Recognition Using Discriminant Locality Preserving Projections" @default.
- W2355093229 hasPublicationYear "2009" @default.
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