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Semi-supervised sub-manifold discriminant analysis

โœ Scribed by Yangqiu Song; Feiping Nie; Changshui Zhang


Publisher
Elsevier Science
Year
2008
Tongue
English
Weight
759 KB
Volume
29
Category
Article
ISSN
0167-8655

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Fisher discriminant analysis (FDA) is a popular method for supervised dimensionality reduction. FDA seeks for an embedding transformation such that the ratio of the between-class scatter to the within-class scatter is maximized. Labeled data, however, often consume much time and are expensive to obt