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dc.contributorSchneider, Michael K.en_US
dc.contributorMassachusetts Institute of Technology. Laboratory for Information and Decision Systems.en_US
dc.date.accessioned2003-04-29T15:42:52Z
dc.date.available2003-04-29T15:42:52Z
dc.date.issued1997en_US
dc.identifier.urihttp://hdl.handle.net/1721.1/3449
dc.descriptionIncludes bibliographical references (p. 29-30).en_US
dc.description.sponsorshipSupported 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 NS34189en_US
dc.description.statementofresponsibilityM.K. Schneider ... [et al.].en_US
dc.format.extent30 p.en_US
dc.format.extent2483062 bytes
dc.format.mimetypeapplication/pdf
dc.language.isoengen_US
dc.publisherMassachusetts Institute of Technology, Laboratory for Information and Decision Systemsen_US
dc.relation.ispartofseriesLIDS-P ; 2378en_US
dc.subject.lccTK7855.M41 E3845 no.2378en_US
dc.titleMultiscale statistical methods for the segmentation of signals and imagesen_US


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