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A multiscale hypothesis testing approach to anomaly detection and localization from noisy tomographic data

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dc.contributor Frakt, Austin B. (Austin Berk)
dc.contributor Karl, William Clement.
dc.contributor Willsky, Alan S.
dc.contributor Massachusetts Institute of Technology. Laboratory for Information and Decision Systems.
dc.date 2003-04-29T15:42:34Z
dc.date 2003-04-29T15:42:34Z
dc.date 1996
dc.date.accessioned 2013-06-04T16:17:29Z
dc.date.available 2013-06-04T16:17:29Z
dc.date.issued 2013-06-05
dc.identifier http://hdl.handle.net/1721.1/3440
dc.identifier.uri http://koha.mediu.edu.my:8181/xmlui/handle/1721
dc.description Austin B. Frakt, W. Clem Karl, Alan S. Willsky.
dc.description Includes bibliographical references (p. 29-30).
dc.description Supported 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. F49620-93-1-0604
dc.format 30 p.
dc.format 2233510 bytes
dc.format application/pdf
dc.language eng
dc.publisher Massachusetts Institute of Technology, Laboratory for Information and Decision Systems
dc.relation LIDS-P ; 2369
dc.subject TK7855.M41 E3845 no.2369
dc.title A multiscale hypothesis testing approach to anomaly detection and localization from noisy tomographic data


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