usenet@cps3xx.UUCP (Usenet file owner) (10/14/89)
I'm looking for papers about subgraph isomorphism/ best matching subgraph using neural nets. So far I have 1 reference: Paul Cooper, "Structure Recognition by Connectionist Relaxation: Formal Analysis", Proc. CSCSI-88. Any other references would be greatly appreciated; if there are enough responses I will summarize. Please email me at: raja%frith.egr.msu.edu@uunet.uu.net OR raja%frith.egr.msu.edu@cunyvm.cuny.edu Thank you. Narayan Sriranga Raja. ________ ________ __ __ ________ | | | | (/ \/ ) | | | | | | / | | | | | | / | | | | | | / | | | | | | _/ __ | | (Raja) | | | | (__/ \) | | /
usenet@cps3xx.UUCP (Usenet file owner) (10/26/89)
Here's the summary of responses I received. Raja. ------------------------------------------------------------- From zador-anthony@YALE.ARPA Fri Oct 13 18:35:23 1989 Gene Gindi, Eric Mjolsness, P. Anandan, Joachim Utans, and Tony Zador have in various combinations presented papers on vision using graph-matching neural nets. The best ref is a paper by the 1st three of these, which appeared in Neural Computation (T. Sejnowski's journal, i think this is what it's called), Summer, 1989 -------------------------------------------------------------- From: jagota@cs.Buffalo.EDU (Arun Jagota) [PS - I do have a reference to applying connectionist models to some other graph problems. This work was done by two MS students under Michael Luby at U. Toronto.] On the Computational Complexity of Finding Stable State Vectors in Connectionist Models (Hopfield Nets). Gail H. Godbeer, John Lipscomb, Michael Luby TR 208/88 March, 88 U. Toronto ] --------------------------------------------------------------- From Todd.Kaufmann@NL.CS.CMU.EDU Mon Oct 16 09:48:32 1989 In the past couple months in Science there was a short paper on a NN that could do graph planarization.. perhaps some of the references there would lead you to other graph algorithms. ----------------------------------------------------------------- From: platt@synaptics.com (John Platt) The folks at Yale have been looking at NNs used for graph problems. I think you'd be interested in the report "Stickville: A Neural Net for Object Recognition via Graph Matching" by Grant Shumaker, Gene Gindi, Eric Mjolsness, and P. Anandan, Report 8908, Center for Systems Science, Electrical Engineering, Yale University, April 1989. ------------------------------------------------------------------ Sender: mackeown%compsci.bristol.ac.uk@NSFnet-Relay.AC.UK Here's another reference on graph-matching which may interest you: Von der Malsburg, C. "Pattern Recognition by Labelled Graph Matching", Neural Networks, Vol.1, No.2, pp.141-148, 1988. ------------------------------------------------------------------ ________ ________ __ __ ________ | | | | (/ \/ ) | | | | | | / | | | | | | / | | | | | | / | | | | | | _/ __ | | (Raja) | | | | (__/ \) | | /