Path: utzoo!utgpu!news-server.csri.toronto.edu!rpi!usc!wuarchive!uunet!munnari.oz.au!metro!macuni!macadam!jondarr From: jondarr@macadam.mqcs.mq.oz.au (jondarr c g h 2 gibb) Newsgroups: comp.ai.neural-nets Subject: Re: Digital Character Recognition Summary: Where are you Gary ? Keywords: Digit Recognition Message-ID: <855@macuni.mqcc.mq.oz> Date: 9 May 91 05:34:27 GMT References: <1991Apr26.082505.11860@images.cs.und.ac.za> Sender: news@macuni.mqcc.mq.oz Distribution: comp.ai.neural-nets Organization: Macquarie University, School of Mathematics, Physics, Computing and Electronics Lines: 29 This is sort of for Gary, but if he doesn't get it, maybe someone else can help. I can't work out the address of images.cs.und.ac.za - it's that simple. Here I am in the land of oz, an honours student doing benchmarking for the common neural network simulation algorithms on the standard problem set ( which I'm expanding as I go ), and I wondered if there was anyone else out there doing this sort of thing, etc, etc. I have some interest in digit or character recognition, and intend to include these in my benchmarking. I have collected oodles of references published on net and referred to from there on in. I have toyed with algorithms of standards ranging from basic implementations of Lippmann's interpretations and simplifications through to 'real' implemented programs. If anyone has any useful references on benchmarking ( aside from the standard Fahlman, Veitch, Ackley, etc ) which actually do fair comparisons, and do not just promote their own pet algorithms, would they be kind enough to post or e-mail where such items can be found. I'm probably not the only one with this sort of interest. Thanx, etc, jondarr [ jondarr@macadam.mqcs.mq.oz.au - 137.111.160.57 ] P.S. anyone else out there in the land of oz ?