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From: smoliar@vaxa.isi.edu (Stephen Smoliar)
Newsgroups: comp.ai
Subject: Re: Neural Networks & Unaligned fields
Message-ID: <3523@venera.isi.edu>
Date: Fri, 4-Sep-87 09:51:51 EDT
Article-I.D.: venera.3523
Posted: Fri Sep  4 09:51:51 1987
Date-Received: Sun, 6-Sep-87 06:23:23 EDT
References: <277@ndmath.UUCP>
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Reply-To: smoliar@vaxa.isi.edu.UUCP (Stephen Smoliar)
Organization: Information Sciences Institute
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In article <277@ndmath.UUCP> milo@ndmath.UUCP (Greg Corson) writes:
>Ok, here's a quick question for anyone who's getting into Neural Networks.
>If you setup the type of network described in BYTE this month, or the
>type used in the program recently posted to the net, what happens if you
>feed it an input image that is not aligned right?
>
>For example, in the Byte article they demonstrate correct recall of an image
>corrupted by randomly flipping a number of bytes, simulating "noise".  What
>would happen if they just shifted the input image one or two bits to the left?
>Would the network still recognize the pattern?
>
After after that, what happens if you change the SCALE of the image,
expanding or contracting it?  What sort of data base of images would
be required for recognition by an ambulatory robot (or automated land
vehicle, if you prefer)?