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From: maiden@SDCSVAX.UCSD.EDU (VLSI Layout Project)
Newsgroups: comp.ai.digest
Subject: Re: Neural Networks & Unaligned fields
Message-ID: <3799@sdcsvax.UCSD.EDU>
Date: Mon, 7-Sep-87 01:47:19 EDT
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Posted: Mon Sep  7 01:47:19 1987
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In article <12331701930.42.LAWS@KL.SRI.Com> AIList-Request@SRI.COM writes:
>The current networks will generally fail to recognize shifted patterns.
>All of the recognition networks I have seen (including the optical
>implementations) correlate the image with a set of templates and then
>use a winner-take-all subnetwork or a feedback enhancement to select
>the best-matching template.  
[some lines deleted]
>					-- Ken
>-------

There are a number of networks that will recognize shifts in position.
Among them are optical implementations (see SPIE by Psaltis at CalTech)
and the Neocognitron (Biol. Cybern. by Fukushima).  The first neocognitron
article dates to 1978, the latest article is 1987.  There have been a
number of improvements, including shifts in attention.

 Edward K. Y. Jung
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 1. If the answer to life, the universe and everything is "42"...
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