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

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

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