Luttrell S P, August 1992, Partitioned mixture distributions: an introduction, DRA technical report (Malvern, UK), 4671
This memorandum contains an introduction to the use of 'probability images' as a standard format for the data stored in the layers of multilayer image processing networks. It also contains an introduction to a new type of network model, called the 'partitioned mixture distribution', which is a generalisation of the standard mixture distribution model. Unlike the standard model, this generalisation scales well and is suitable for applying to image-sized datasets. A simple derivation shows that probability images emerge naturally from partitioned mixture distribution models. Furthermore, a simple numerical simulation shows how the nodes in this type of network adapt so as to form a type of 'orientation map', in which each local patch of nodes contains in a spatially ordered fashion all of the machinery that is needed to process a local patch of the image.