Abstract

Independent component analysis (ICA) is a statistical technique which attempts to find a representation of observed data such that the components are as independent as possible. This technique has shown great promise in feature extraction, essentially finding the building blocks of any given data. In particular, when applied to image data ICA gives a representation which identifies the contours in the image; these can be considered the primary structure in the data.

Citations