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dc.contributorMilanfar, Peyman.en_US
dc.contributorKarl, William Clement.en_US
dc.contributorWillsky, Alan S.en_US
dc.contributorMassachusetts Institute of Technology. Laboratory for Information and Decision Systems.en_US
dc.date.accessioned2003-04-29T15:37:13Z
dc.date.available2003-04-29T15:37:13Z
dc.date.issued1992en_US
dc.identifier.urihttp://hdl.handle.net/1721.1/3270
dc.descriptionCaption title.en_US
dc.descriptionIncludes bibliographical references (p. 12).en_US
dc.description.sponsorshipSupported by the Army Research Office. ARO DAAL03-86-K-0171 Supported by the National Science Foundation. 9015281-MIP Supported by the Clement Vaturi Fellowship in Biomedical Imaging Sciences at MIT, and the Office of Naval Research. N00014-91-J-1004en_US
dc.description.statementofresponsibilityPeyman Milanfar, W. Clem Karl, Alan S. Willsky.en_US
dc.format.extent12 p.en_US
dc.format.extent974602 bytes
dc.format.mimetypeapplication/pdf
dc.language.isoengen_US
dc.publisherMassachusetts Institute of Technology, Laboratory for Information and Decision Systems]en_US
dc.relation.ispartofseriesLIDS-P ; 2114en_US
dc.subject.lccTK7855.M41 E3845 no.2114en_US
dc.titleStatistical approaches to the tomographic reconstruction of finitely parameterized geometric objectsen_US


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