Summary (long): pattern recognition comparisons

[Vasant Honavar]

We have found that with relatively small sample sizes, 
generalization performance is improved by local connectivity
and weight sharing on simple 2-d patterns.

For position-invariant recognition, local connectivity 
and weight-sharing give substantially better generalization 
performance than that obtained without local connectivity.

Clearly this is a case where extensive empirical studies 
are needed to draw general conclusions.

Vasant Honavar (honavar at cs.wisc.edu)