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AuthorReuter, Stephandc.contributor.author
AuthorVo, Ba-Tuongdc.contributor.author
AuthorVo, Ba-Ngudc.contributor.author
AuthorDietmayer, Klausdc.contributor.author
Date of accession2018-05-15T08:10:36Zdc.date.accessioned
Available in OPARU since2018-05-15T08:10:36Zdc.date.available
Date of first publication2014dc.date.issued
Languageendc.language.iso
PublisherUniversität Ulmdc.publisher
KeywordBayesian estimationdc.subject
Keywordconjugate priordc.subject
Keywordmarked point processdc.subject
Keywordrandom finite setdc.subject
Keywordtarget trackingdc.subject
Keywordhypothesis density filterdc.subject
Keywordrandom finite setsdc.subject
Keywordvisual trackingdc.subject
Keywordphddc.subject
Keywordimplementationsdc.subject
Keywordalgorithmdc.subject
Keywordsystemsdc.subject
Keywordpathsdc.subject
Keywordorderdc.subject
Dewey Decimal GroupDDC 620 / Engineering & allied operationsdc.subject.ddc
TitleThe Labeled Multi-Bernoulli Filterdc.title
Resource typeWissenschaftlicher Artikeldc.type
FacultyFakultät für Ingenieurwissenschaften, Informatik und Psychologieuulm.affiliationGeneral
InstitutionInstitut für Mess-, Regel- und Mikrotechnikuulm.affiliationSpecific
DCMI TypeTextuulm.typeDCMI
CategoryPublikationsnachweiseuulm.category
DOI (external)10.1109/TSP.2014.2323064dc.identifier.doiExternal
Source - Title of sourceIEEE Transactions on Signal Processingsource.title
Source - Place of publicationIEEEsource.publisher
Source - Volume62source.volume
Source - Issue12source.issue
Source - Year2014source.year
Source - From page3246source.fromPage
Source - To page3260source.toPage
Source - ISSN1053-587Xsource.identifier.issn
Source - eISSN1941-0476source.identifier.eissn
FundingTRR 62 / Eine Companion-Technologie für kognitive technische Systeme / DFG / SFB-TRR / 54371073uulm.funding
Open AccessNouulm.OA
CommunityFakultät für Ingenieurwissenschaften, Informatik und Psychologieuulm.community
WoS000338122400018uulm.identifier.wos
Bibliographyuulmuulm.bibliographie


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