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

dc.date.accessioned2004-10-04T14:35:48Z
dc.date.accessioned2018-11-24T10:11:31Z
dc.date.available2004-10-04T14:35:48Z
dc.date.available2018-11-24T10:11:31Z
dc.date.issued1990-04-01en_US
dc.identifier.urihttp://hdl.handle.net/1721.1/6011
dc.identifier.urihttp://repository.aust.edu.ng/xmlui/handle/1721.1/6011
dc.description.abstractWe 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.en_US
dc.format.extent35 p.en_US
dc.format.extent4115113 bytes
dc.format.extent1642873 bytes
dc.language.isoen_US
dc.subjectobject recognitionen_US
dc.subjectrepresentationen_US
dc.subjectnonlinear interpolationen_US
dc.subjectsGrandmother cellsen_US
dc.titleBringing the Grandmother Back into the Picture: A Memory-Based View of Object Recognitionen_US


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