Independent Component Analysis
In a task such as face recognition, much of the important information may be contained in the high-order relationships
among the image pixels. A number of face recognition algorithms employ principal component analysis (PCA), which
is based on the second-order statistics of the image set, and does not address high-order statistical dependencies such
as the relationships among three or more pixels.
