Class-adapted local fisher discriminant analysis to reduce highly-dimensioned data on commodity hardware: application to hyperspectral images
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DOI: 10.1007/s11042-018-6887-3
Abstract: Local Fisher Discriminant Analysis (LFDA) is a supervised feature extraction technique that proved to be efficient in reducing several types of data. However, it depends on the number of samples per class in a way… read more here.
Keywords: local fisher; class; fisher discriminant; hyperspectral images ... See more keywords