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Low-rank data matrix recovery with missing values and faulty sensors
dc.contributor.author | Lopez Valcarce, Roberto |
dc.contributor.author | Sala Álvarez, José |
dc.contributor.other | Universitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions |
dc.date.accessioned | 2021-04-08T10:57:53Z |
dc.date.available | 2021-04-08T10:57:53Z |
dc.date.issued | 2019 |
dc.identifier.citation | López, R.; Sala, J. Low-rank data matrix recovery with missing values and faulty sensors. A: European Signal Processing Conference. "27th EUSIPCO 2019 European Signal Processing Conference: A Coruña, Spain: September 2-6, 2019". 2019, p. 1-5. ISBN 978-1-5386-7300-3. DOI 10.23919/EUSIPCO.2019.8903117. |
dc.identifier.isbn | 978-1-5386-7300-3 |
dc.identifier.uri | http://hdl.handle.net/2117/343306 |
dc.description.abstract | In practice, data gathered by wireless sensor networks often belongs in a low-dimensional subspace, but it can present missing as well as corrupted values due to sensor malfunctioning and/or malicious attacks. We study the problem of Maximum Likelihood estimation of the low-rank factors of the underlying structure in such situation, and develop an Expectation-Maximization algorithm to this purpose, together with an effective initialization scheme. The proposed method outperforms previous schemes based on an initial faulty sensor identification stage, and is competitive in terms of complexity and performance with convex optimization-based matrix completion approaches. |
dc.description.sponsorship | Roberto Lopez-Valcarce: Supported by Agencia Estatal de Investigacion (Spain) and the European Regional Development Fund (ERDF) under project WINTER (TEC2016-76409-C2-2-R), and by Xunta de Galicia (Agrupacion Estratéxica Consolidada de Galicia accreditation 2016-2019). Josep Sala-Alvarez: Supported by Agencia Estatal de Investigacion (Spain) and ERDF under project WINTER (TEC2016-76409-C2-1-R), and the Catalan administration (AGAUR) under 2017 SGR 578. |
dc.format.extent | 5 p. |
dc.language.iso | eng |
dc.subject | Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Processament del senyal |
dc.subject.lcsh | Wireless sensor networks |
dc.subject.other | Low-rank approximation |
dc.subject.other | Matrix completion |
dc.subject.other | Outliers |
dc.subject.other | Faulty sensors |
dc.title | Low-rank data matrix recovery with missing values and faulty sensors |
dc.type | Conference lecture |
dc.subject.lemac | Xarxes de sensors sense fils |
dc.contributor.group | Universitat Politècnica de Catalunya. SPCOM - Grup de Recerca de Processament del Senyal i Comunicacions |
dc.identifier.doi | 10.23919/EUSIPCO.2019.8903117 |
dc.description.peerreviewed | Peer Reviewed |
dc.relation.publisherversion | https://ieeexplore.ieee.org/document/8903117 |
dc.rights.access | Open Access |
local.identifier.drac | 30863321 |
dc.description.version | Postprint (author's final draft) |
dc.relation.projectid | info:eu-repo/grantAgreement/MINECO/1PE/TEC2016-76409-C2-1-R |
dc.relation.projectid | info:eu-repo/grantAgreement/AGAUR/PRI2017-2019/2017 SGR 578 |
local.citation.author | Lopez, R.; Sala, J. |
local.citation.contributor | European Signal Processing Conference |
local.citation.publicationName | 27th EUSIPCO 2019 European Signal Processing Conference: A Coruña, Spain: September 2-6, 2019 |
local.citation.startingPage | 1 |
local.citation.endingPage | 5 |