Year
1996
Degree Name
Master of Computer Science
Department
Department of Computer Science
Recommended Citation
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. https://ro.uow.edu.au/theses/2308
Abstract
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.
Unless otherwise indicated, the views expressed in this thesis are those of the author and do not necessarily represent the views of the University of Wollongong.