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dc.contributorFrakt, Austin B. (Austin Berk)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.accessioned2003-04-29T15:42:34Z
dc.date.available2003-04-29T15:42:34Z
dc.date.issued1996en_US
dc.identifier.urihttp://hdl.handle.net/1721.1/3440
dc.descriptionIncludes bibliographical references (p. 29-30).en_US
dc.description.sponsorshipSupported by Air Force Office of Scientific Research. F49620-95-1-0083, F49620-96-1-0028 (awarded to Boston University) Supported by a National Defense Science and Engineering Graduate Fellowship awarded by the Defense Advanced Research Projects Agency. F49620-93-1-0604en_US
dc.description.statementofresponsibilityAustin B. Frakt, W. Clem Karl, Alan S. Willsky.en_US
dc.format.extent30 p.en_US
dc.format.extent2233510 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 ; 2369en_US
dc.subject.lccTK7855.M41 E3845 no.2369en_US
dc.titleA multiscale hypothesis testing approach to anomaly detection and localization from noisy tomographic dataen_US


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