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Semi-supervised orthogonal discriminant analysis via label propagation

โœ Scribed by Feiping Nie; Shiming Xiang; Yangqing Jia; Changshui Zhang


Publisher
Elsevier Science
Year
2009
Tongue
English
Weight
555 KB
Volume
42
Category
Article
ISSN
0031-3203

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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