tech report available in NEUROPROSE

[zeiden@cs.wisc.edu]

I have placed the following tech report in the NEUROPROSE ftp
archive at Ohio State, under the name zeidenberg.containment.ps.Z

Implementing Spatial Relations in Neural Nets: The Case of
Figure/Ground and Containment

Matthew Zeidenberg
zeiden at cs.wisc.edu

A neural network system that computes the relation of containment
between objects in a retina-like input array is described. This
system is multi-layer, and operates by recognizing and segmenting the
objects in the input to place them in separated arrays. The figure of
each object, that is, the set of all pixels on the perimeter of or
contained in the object, is computed for each object, using a method
that involves a connectionist implementation of a standard algorithm
using parity networks. These figures are then used to compute containment
relations between the objects in the input.

ftp Instructions:

unix> ftp archive.cis.ohio-state.edu (or 128.146.8.52)
Name: anonymous
Password: neuron
ftp> cd pub/neuroprose
ftp> binary
ftp> get zeidenberg.containment.ps.Z
ftp> quit
unix> uncompress zeidenberg.containment.ps.Z
unix> lpr zeidenberg.containment.ps (or other command to print
postscript)