Feature Extraction Using Adaptive Slow Feature Discriminant Analysis

Slow Feature Discriminant Analysis (SFDA) is an attractive biologically inspired learning method toextract discriminant features for classi cation. However, SFDA heavily relies on the constructed time series.For discriminant analysis, SFDA cannot make full use of discriminant power for class