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dc.contributor.authorWinston, Patrick H.en_US
dc.date.accessioned2004-10-20T20:04:22Z
dc.date.available2004-10-20T20:04:22Z
dc.date.issued1970-09-01en_US
dc.identifier.otherAITR-231en_US
dc.identifier.urihttp://hdl.handle.net/1721.1/6884
dc.description.abstractThe research here described centers on how a machine can recognize concepts and learn concepts to be recognized. Explanations are found in computer programs that build and manipulate abstract descriptions of scenes such as those children construct from toy blocks. One program uses sample scenes to create models of simple configurations like the three-brick arch. Another uses the resulting models in making identifications. Throughout emphasis is given to the importance of using good descriptions when exploring how machines can come to perceive and understand the visual environment.en_US
dc.format.extent266 p.en_US
dc.format.extent10925050 bytes
dc.format.extent7686304 bytes
dc.format.mimetypeapplication/postscript
dc.format.mimetypeapplication/pdf
dc.language.isoen_US
dc.relation.ispartofseriesAITR-231en_US
dc.titleLearning Structural Descriptions from Examplesen_US


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