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dc.contributor.authorPoggio, Tomasoen_US
dc.contributor.authorFahle, Manfreden_US
dc.contributor.authorEdelman, Shimonen_US
dc.date.accessioned2004-10-04T14:25:32Z
dc.date.available2004-10-04T14:25:32Z
dc.date.issued1991-01-01en_US
dc.identifier.otherAIM-1271en_US
dc.identifier.urihttp://hdl.handle.net/1721.1/5990
dc.description.abstractNetworks that solve specific visual tasks, such as the evaluation of spatial relations with hyperacuity precision, can be eastily synthesized from a small set of examples. This may have significant implications for the interpretation of many psychophysical results in terms of neuronal models.en_US
dc.format.extent18 p.en_US
dc.format.extent2105394 bytes
dc.format.extent833114 bytes
dc.format.mimetypeapplication/postscript
dc.format.mimetypeapplication/pdf
dc.language.isoen_US
dc.relation.ispartofseriesAIM-1271en_US
dc.subjectlearningen_US
dc.subjecthyperacuityen_US
dc.titleSynthesis of Visual Modules from Examples: Learning Hyperacuityen_US


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