Learning Structural Descriptions from Examples

Please use this identifier to cite or link to this item: http://dspace.mediu.edu.my:8181/xmlui/handle/1721.1/6884

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DC Field	Value	Language
dc.creator	Winston, Patrick H.	-
dc.date	2004-10-20T20:04:22Z	-
dc.date	2004-10-20T20:04:22Z	-
dc.date	1970-09-01	-
dc.date.accessioned	2013-10-09T02:47:27Z	-
dc.date.available	2013-10-09T02:47:27Z	-
dc.date.issued	2013-10-09	-
dc.identifier	AITR-231	-
dc.identifier	http://hdl.handle.net/1721.1/6884	-
dc.identifier.uri	http://koha.mediu.edu.my:8181/xmlui/handle/1721	-
dc.description	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.	-
dc.format	266 p.	-
dc.format	10925050 bytes	-
dc.format	7686304 bytes	-
dc.format	application/postscript	-
dc.format	application/pdf	-
dc.language	en_US	-
dc.relation	AITR-231	-
dc.title	Learning Structural Descriptions from Examples	-
Appears in Collections:	MIT Items

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