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

1993

@article{KiB1993,
	vgclass =	{refpap},
	vgproject =	{nn,invariance},
	author =	{Margit Kinder and Wilfried Brauer},
	title =	{Classification of Trajectories -- Extracting Invariants
	With a Neural Network},
	journal =	{Neural Networks},
	volume =	{6},
	pages =	{1011--1017},
	year =	{1993},
	abstract =	{A neural classifier of planar trajectories is presented.
	There already exist a large variety of classifiers that are specialized
	in particular invariants contained in a trajectory classification task
	such as position-invariance, rotation-invariance and size-invariance.
	That is, there exist classifiers specialized in recognizing
	trajectories, e.g., independently of their position. The neural
	classifier presented in this paper is not restricted to certain
	invariants in a task: The neural network itself extracts the invariants
	contained in a classification task by assessing only the trajectories.
	The trajectories need to be given as a set of points.  No additional
	information must be available for training, which saves the designer
	from determining the needed invariants by himself. Besides its
	applicability to real-world problems, such a more general classifier is
	also cognitively plausible: In assessing trajectories for
	classification, human beings are able to find class specific features
	no matter what kinds of invariants they are confronted with. Invariants
	are easily handled by ignoring unspecific features.},
}