Semi-supervised local Fisher discriminant analysis for dimensionality reduction
نویسندگان
چکیده
منابع مشابه
On Computational Issues of Semi-Supervised Local Fisher Discriminant Analysis
Dimensionality reduction is one of the important preprocessing steps in practical pattern recognition. SEmi-supervised Local Fisher discriminant analysis (SELF)— which is a semi-supervised and local extension of Fisher discriminant analysis—was shown to work excellently in experiments. However, when data dimensionality is very high, a naive use of SELF is prohibitive due to high computational c...
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ژورنال
عنوان ژورنال: Machine Learning
سال: 2009
ISSN: 0885-6125,1573-0565
DOI: 10.1007/s10994-009-5125-7