Refereed full papers (journals, book chapters, international conferences)

1991

@article{BaC1991,
	vgclass =	{refpap},
	vgproject =	{nn,invariance},
	author =	{Etienne Barnard and David Casasent},
	title =	{Invariance and Neural Nets},
	journal =	{IEEE Transactions on Neural Networks},
	volume =	{2},
	number =	{5},
	pages =	{498--508},
	month =	{September},
	year =	{1991},
	abstract =	{Invariance with respect to certain transformations is one
	of the main tasks of pattern recognition systems. We study various
	techniques for obtaining this invariance with neural net classifiers
	and identify the invariant-feature techniques as the most suitable for
	current neural classifiers. A new formulation in terms of constraints
	on the feature values leads to a general method for transforming any
	given feature space so that it becomes invariant to specified
	transformations. A case study using range imagery is used to exemplify
	these ideas, and good performance is obtained.},
}