Bringing the Grandmother Back into the Picture: A Memory-Based View of Object Recognition

Please use this identifier to cite or link to this item: http://dspace.mediu.edu.my:8181/xmlui/handle/1721.1/6011

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DC Field	Value	Language
dc.creator	Edelman, Shimon	-
dc.creator	Poggio, Tomaso	-
dc.date	2004-10-04T14:35:48Z	-
dc.date	2004-10-04T14:35:48Z	-
dc.date	1990-04-01	-
dc.date.accessioned	2013-10-09T02:42:24Z	-
dc.date.available	2013-10-09T02:42:24Z	-
dc.date.issued	2013-10-09	-
dc.identifier	AIM-1181	-
dc.identifier	http://hdl.handle.net/1721.1/6011	-
dc.identifier.uri	http://koha.mediu.edu.my:8181/xmlui/handle/1721	-
dc.description	We describe experiments with a versatile pictorial prototype based learning scheme for 3D object recognition. The GRBF scheme seems to be amenable to realization in biophysical hardware because the only kind of computation it involves can be effectively carried out by combining receptive fields. Furthermore, the scheme is computationally attractive because it brings together the old notion of a "grandmother'' cell and the rigorous approximation methods of regularization and splines.	-
dc.format	35 p.	-
dc.format	4115113 bytes	-
dc.format	1642873 bytes	-
dc.format	application/postscript	-
dc.format	application/pdf	-
dc.language	en_US	-
dc.relation	AIM-1181	-
dc.subject	object recognition	-
dc.subject	representation	-
dc.subject	nonlinear interpolation	-
dc.subject	sGrandmother cells	-
dc.title	Bringing the Grandmother Back into the Picture: A Memory-Based View of Object Recognition	-
Appears in Collections:	MIT Items

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