Kernel principal component analysis and thе construction of non-linear active shape models

The use of Kernel Principal Component Analysis to model data distributions in high-dimensional spaces. Kernel principal component analysis, the KPCA algorithm. The embedded sub-manifold. Constructing non-linear ASMs. Articial statistical shape model.

Рубрика Биология и естествознание
Вид статья
Язык английский
Дата добавления 08.02.2013
Размер файла 496,8 K

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