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Learning Structural Descriptions from Examples

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dc.contributor.author Winston, Patrick H. en_US
dc.date.accessioned 2004-10-20T20:04:22Z
dc.date.available 2004-10-20T20:04:22Z
dc.date.issued 1970-09-01 en_US
dc.identifier.other AITR-231 en_US
dc.identifier.uri http://hdl.handle.net/1721.1/6884
dc.description.abstract The 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.description.provenance Made available in DSpace on 2004-10-20T20:04:22Z (GMT). No. of bitstreams: 2 AITR-231.ps: 10925050 bytes, checksum: c8aaa0abfc1028906aa214ff7af9fa94 (MD5) AITR-231.pdf: 7686304 bytes, checksum: e400597d3f6239a9731787a9d07e9b99 (MD5) Previous issue date: 1970-09-01 en
dc.format.extent 266 p. en_US
dc.format.extent 10925050 bytes
dc.format.extent 7686304 bytes
dc.format.mimetype application/postscript
dc.format.mimetype application/pdf
dc.language.iso en_US
dc.relation.ispartofseries AITR-231 en_US
dc.title Learning Structural Descriptions from Examples en_US

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