Machine learning paradigms for pattern recognition and image understanding
Terry Caelli, Walter F. Bischof · Spatial Vision · 1996
In this paper some issues are considered related to the encoding of spatial information and associated perceptual learning algorithms which, it is claimed, are necessary for robust pattern and object recognition in multi-object (natural) scenes. The types of learning requirements within a 'recognition-by-parts' paradigm are contrasted with findings from alternative models.