title: A neural bridge from syntactic to statistical pattern recognition.
abstract: A simple means of differentiating between syntactic and statistical pattern recognition is that, while both deal with feature sets, syntactic methods also include relationships among the features. In this paper we describe a pulse-coupled neural network (PCNN), which operates syntactically to produce icons that are ideal for statistical pattern recognition.
authors.affiliation: Center for Applied Optical Sciences, Alabama A&M University, PO Box 1268, Normal, USA
authors.forename: Frank T.
authors.initials: FT
authors.lastname: Allen
authors.forename: Jason M.
authors.initials: JM
authors.lastname: Kinser
authors.forename: H John
authors.initials: HJ
authors.lastname: Caulfield