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dc.contributorMilanfar, Peyman.-
dc.contributorKarl, William Clement.-
dc.contributorWillsky, Alan S.-
dc.contributorMassachusetts Institute of Technology. Laboratory for Information and Decision Systems.-
dc.date2003-04-29T15:37:13Z-
dc.date2003-04-29T15:37:13Z-
dc.date1992-
dc.date.accessioned2013-06-04T16:16:28Z-
dc.date.available2013-06-04T16:16:28Z-
dc.date.issued2013-06-05-
dc.identifierhttp://hdl.handle.net/1721.1/3270-
dc.identifier.urihttp://koha.mediu.edu.my:8181/xmlui/handle/1721-
dc.descriptionPeyman Milanfar, W. Clem Karl, Alan S. Willsky.-
dc.descriptionCaption title.-
dc.descriptionIncludes bibliographical references (p. 12).-
dc.descriptionSupported 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-1004-
dc.format12 p.-
dc.format974602 bytes-
dc.formatapplication/pdf-
dc.languageeng-
dc.publisherMassachusetts Institute of Technology, Laboratory for Information and Decision Systems]-
dc.relationLIDS-P ; 2114-
dc.subjectTK7855.M41 E3845 no.2114-
dc.titleStatistical approaches to the tomographic reconstruction of finitely parameterized geometric objects-
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