Applications

Kernel PCA has proved useful for several applications, including:

• De-noising of images of hand-written digits [1].
• As a pre-processing step in regression problems [4].
• Modelling the distribution of non-linear data sets in the context of shape modelling for real objects (Active Shape Models) [7].

2001-10-02