Path: utzoo!utgpu!watmath!clyde!att!osu-cis!tut.cis.ohio-state.edu!bloom-beacon!bu-cs!purdue!decwrl!sun!pitstop!sundc!seismo!uunet!mcvax!ukc!warwick!expya!sda@cs.exeter.ac.uk From: sda@cs.exeter.ac.uk (Steven Dakin) Newsgroups: comp.ai.neural-nets Subject: Neural nets and edge detection Message-ID: <14516.8811161059@expya.cs.exeter.ac.uk> Date: 16 Nov 88 10:59:28 GMT Sender: sda@cs.exeter.ac.uk Lines: 21 X-mailer: mail gatewayed to news (mail-news 1.5a) Recently I read an interesting article on applications of neural nets in the field of visual edge detection. Basically it showed that single layer nets couldn't be trained using a simple learning rule (eg. delta) to recognise lines of various orientations. The problem is that a set of weights to recognise verticals destroy all the information about horizontality inherent in the pattern of connectivity.The author proposed a solution using hidden units. So far so good. However some months on, and I can't for the life of me remember the reference or the author. I have a feeling it may be unpublished, but if anyone has come across this piece, or indeed any related work in the field, please mail me. I'll compile and mail a list if there's enough. Thanks. Steven Dakin (sda@uk.ac.exeter.cs)