A novel approach to the application of higher order neural networks to image classification / by Fivos Hatsivasiliou and Kenneth L. Sala, Communications Systems Research Antennas and Integrated Electronics. : Co24-3/7-96-005E-PDF

"The applicability of higher order neural networks to the classification of low resolution imagery is investigated. A novel boundary detection and encoding methodology is developed in order to significantly reduce the large number of third order interconnection weights which must be found during the training stage of the neural network. The higher order neural classifier can be trained by presenting only one sample image per class and so enables rapid network learning with a minimal requirement for training data. An extensive, MatLab compatible toolbox developed specifically to implement this approach is described and documented along with the algorithms employed in the image boundary detection and encoding process"--Abstract, page iii.

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