Kernel Fisher Discriminant Analysis in Full Eigenspace
(2008)
Book Chapter
Mandal. (2008). Kernel Fisher Discriminant Analysis in Full Eigenspace. In Proceedings of the 2007 International Conference on Image Processing, Computer Vision, & Pattern Recognition, IPCV 2007, June 25-28, 2007, Las Vegas Nevada, (235-241)
This work proposes a method which enables us to perform kernel Fisher discriminant analysis in the whole eigenspace for face recognition. It employs the ratio of eigenvalues to decompose the entire kernel feature space into two subspaces: a reliable... Read More about Kernel Fisher Discriminant Analysis in Full Eigenspace.