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Reconstruction and subgaussian processes

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dc.contributor.authorMendelson, Shahar
dc.contributor.authorPajor, Alain
dc.contributor.authorTomczak-Jaegermann, Nicole
dc.date.accessioned2015-12-13T22:53:54Z
dc.date.issued2005
dc.date.updated2015-12-11T11:00:39Z
dc.description.abstractThis Note presents a randomized method to approximate any vector v from some set T ⊂ ℝn. The data one is given is the set T, and k scalar products (〈Xi, v〉)i=1k, where (Xi)i=1k are i.i.d. isotropic subgaussian random vectors in ℝn, and k ≪ n.
dc.identifier.issn1631-073X
dc.identifier.urihttp://hdl.handle.net/1885/82023
dc.publisherElsevier
dc.sourceAcademie des Sciences Comptes Rendus: Mathematique
dc.titleReconstruction and subgaussian processes
dc.typeJournal article
local.bibliographicCitation.issue12
local.bibliographicCitation.lastpage888
local.bibliographicCitation.startpage885
local.contributor.affiliationMendelson, Shahar, College of Physical and Mathematical Sciences, ANU
local.contributor.affiliationPajor, Alain, College of Physical and Mathematical Sciences, ANU
local.contributor.affiliationTomczak-Jaegermann, Nicole, College of Physical and Mathematical Sciences, ANU
local.contributor.authoruidMendelson, Shahar, u4011413
local.contributor.authoruidPajor, Alain, u4137636
local.contributor.authoruidTomczak-Jaegermann, Nicole, t482
local.description.embargo2037-12-31
local.description.notesImported from ARIES
local.description.refereedYes
local.identifier.absfor010405 - Statistical Theory
local.identifier.ariespublicationMigratedxPub10322
local.identifier.citationvolume340
local.identifier.doi10.1016/j.crma.2005.04.032
local.identifier.scopusID2-s2.0-21344455943
local.type.statusPublished Version

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