Energy Functions for Early Vision and Analog Networks

Please use this identifier to cite or link to this item: http://dspace.mediu.edu.my:8181/xmlui/handle/1721.1/6063

Full metadata record

DC Field	Value	Language
dc.creator	Yuille, Alan	-
dc.date	2004-10-04T14:37:17Z	-
dc.date	2004-10-04T14:37:17Z	-
dc.date	1987-11-01	-
dc.date.accessioned	2013-10-09T02:42:37Z	-
dc.date.available	2013-10-09T02:42:37Z	-
dc.date.issued	2013-10-09	-
dc.identifier	AIM-987	-
dc.identifier	http://hdl.handle.net/1721.1/6063	-
dc.identifier.uri	http://koha.mediu.edu.my:8181/xmlui/handle/1721	-
dc.description	This 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.	-
dc.format	53 p.	-
dc.format	3859651 bytes	-
dc.format	1533812 bytes	-
dc.format	application/postscript	-
dc.format	application/pdf	-
dc.language	en_US	-
dc.relation	AIM-987	-
dc.subject	energy functions	-
dc.subject	line processors	-
dc.subject	analog networks	-
dc.title	Energy Functions for Early Vision and Analog Networks	-
Appears in Collections:	MIT Items

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