Master of Computer Science
Department of Computer Science
Crowley, Justin, Knowledge based dynamic pattern recognition: the recognition of dynamic patterns from minimial [i.e. minimal] examples, Master of Computer Science thesis, Department of Computer Science, University of Wollongong, 1996. http://ro.uow.edu.au/theses/2308
This thesis introduces a dynamic recognition neural network model (DRNNM) that provides a theoretical basis for the resolution of a number of pattern recognition problems. These problems consist of: The Binding Problem; The Correspondence Problem; The Learning Complexity Problem and The Knowledge Transference and Extension Problem. The Thesis also addresses related issues, such as: recognition with scarce training resources; dynamic feature extraction and a methodology for reducing learning conflict or crosstalk.