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Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/70427
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dc.contributor.authorBalzano, L.-
dc.contributor.authorNowak, R.-
dc.contributor.authorRoughan, M.-
dc.date.issued2011-
dc.identifier.citation2011 IEEE International Conference on Acoustics, Speech, and Signal Processing : Proceedings, 2011: : pp.3108-3111-
dc.identifier.isbn9781457705397-
dc.identifier.issn1520-6149-
dc.identifier.urihttp://hdl.handle.net/2440/70427-
dc.description.abstractIn this paper we discuss why a simple network topology inference algorithm based on network co-occurrence measurements and a Markov random walk model for routing enables perfect topology reconstruction, despite the seeming model mismatch to real network routing.-
dc.description.statementofresponsibilityLaura Balzano and Robert Nowak, Matthew Roughan-
dc.language.isoen-
dc.publisherIEEE-
dc.relation.ispartofseriesInternational Conference on Acoustics Speech and Signal Processing ICASSP-
dc.rightsCopyright ©2011 by the Institute of Electrical and Electronics Engineers, Inc. All rights reserved.-
dc.source.urihttp://dx.doi.org/10.1109/icassp.2011.5946353-
dc.subjectNetwork tomography-
dc.subjecttopology-
dc.subjectrouting-
dc.titleOn the success of network inference using a Markov routing model-
dc.typeConference paper-
dc.contributor.conferenceIEEE International Conference on Acoustics, Speech and Signal Processing (36th : 2011 : Prague, Czech Republic)-
dc.identifier.doi10.1109/ICASSP.2011.5946353-
dc.publisher.placeUSA-
pubs.publication-statusPublished-
dc.identifier.orcidRoughan, M. [0000-0002-7882-7329]-
Appears in Collections:Aurora harvest
Mathematical Sciences publications

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