final call for papers call for papers progress in neural networks special volume on shape analysis omid m omidvar minsoo suk series editor volume editor significant progress has been made recently in shape analysis using neural networks and the energy minimization concept ablex publishing corporation is planning a special volume on shape analysis scheduled for this year this volume will be a part of progress in neural networks an annual book series reviewing research in modelling analysis design and application of neural networks the primary aim of this volume is to present in a single volume the most important achievements made on this important topic which are otherwise scattered in diverse literature authors are invited to submit original manuscripts detailing recent progress suggested topics include but are not limited to shape modelling shape estimation shape recovery shape representation shape matching surface reconstruction and surface decomposition research work utilizing neural networks directly or based on energy minimization techniques such as markov random field mean field annealing simulated annealing graduated non convexity algorithms and resistive networks are most welcome the paper should be tutorial in nature self contained and preferably but not necessarily about fifty double spaced pages in length please send electronically if you prefer you can send a hardcopy to the address below an abstract and an outline to msuk ima enst fr by may the full paper must be submitted by july to europe usa professor minsoo suk professor omid m omidvar department images computer science department ecole nationale superieure university of district of columbia des telecommunications connecticut ave n w rue barrault washington d c paris cedex phone france fax fax email oomidvar udcvax bitnet email msuk ima enst fr
