Multiscale statistical methods for the segmentation of signals and images

Please use this identifier to cite or link to this item: http://dspace.mediu.edu.my:8181/xmlui/handle/1721.1/3449

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DC Field	Value	Language
dc.contributor	Schneider, Michael K.	-
dc.contributor	Massachusetts Institute of Technology. Laboratory for Information and Decision Systems.	-
dc.date	2003-04-29T15:42:52Z	-
dc.date	2003-04-29T15:42:52Z	-
dc.date	1997	-
dc.date.accessioned	2013-06-04T16:17:34Z	-
dc.date.available	2013-06-04T16:17:34Z	-
dc.date.issued	2013-06-05	-
dc.identifier	http://hdl.handle.net/1721.1/3449	-
dc.identifier.uri	http://koha.mediu.edu.my:8181/xmlui/handle/1721	-
dc.description	M.K. Schneider ... [et al.].	-
dc.description	Includes bibliographical references (p. 29-30).	-
dc.description	Supported by a National Science Foundation Graduate Fellowship, and by ONR. N00014-91-J-1004 Supported by AFOSR. F49620-95-1-0083 Supported by Boston University. GC123919NGN Supported by NIH. NINDS 1 R01 NS34189	-
dc.format	30 p.	-
dc.format	2483062 bytes	-
dc.format	application/pdf	-
dc.language	eng	-
dc.publisher	Massachusetts Institute of Technology, Laboratory for Information and Decision Systems	-
dc.relation	LIDS-P ; 2378	-
dc.subject	TK7855.M41 E3845 no.2378	-
dc.title	Multiscale statistical methods for the segmentation of signals and images	-
Appears in Collections:	MIT Items

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