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dc.contributor.authorYuille, Alanen_US
dc.date.accessioned2004-10-04T14:37:17Z
dc.date.available2004-10-04T14:37:17Z
dc.date.issued1987-11-01en_US
dc.identifier.otherAIM-987en_US
dc.identifier.urihttp://hdl.handle.net/1721.1/6063
dc.description.abstractThis paper describes attempts to model the modules of early vision in terms of minimizing energy functions, in particular energy functions allowing discontinuities in the solution. It examines the success of using Hopfield-style analog networks for solving such problems. Finally it discusses the limitations of the energy function approach.en_US
dc.format.extent53 p.en_US
dc.format.extent3859651 bytes
dc.format.extent1533812 bytes
dc.format.mimetypeapplication/postscript
dc.format.mimetypeapplication/pdf
dc.language.isoen_US
dc.relation.ispartofseriesAIM-987en_US
dc.subjectenergy functionsen_US
dc.subjectline processorsen_US
dc.subjectanalog networksen_US
dc.titleEnergy Functions for Early Vision and Analog Networksen_US


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