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Traditional two-dimensional linear discriminant analysis (2DLDA) can deal with discriminant information between classes and directly extract features from image matrices. However, 2DLDA essentially works solely in the row-direction of images. Therefore, the features extracted by 2DLDA may contain redundant information. In this letter, a dimensionality reduction method based on 2DLDA and fuzzy rough...
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