FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2964136933> ?p ?o ?g. }

• W2964136933 endingPage "2773" @default.
• W2964136933 startingPage "2759" @default.
• W2964136933 abstract "A recent trend in distributed multisensor fusion is to use random finite-set filters at the sensor nodes and fuse the filtered distributions algorithmically using their exponential mixture densities (EMDs). Fusion algorithms that extend covariance intersection and consensus-based approaches are such examples. In this paper, we analyze the variational principle underlying EMDs and show that the EMDs of finite-set distributions do not necessarily lead to consistent fusion of cardinality distributions. Indeed, we demonstrate that these inconsistencies may occur with overwhelming probability in practice, through examples with Bernoulli, Poisson, and independent identically distributed cluster processes. We prove that pointwise consistency of EMDs does not imply consistency in global cardinality and vice versa. Then, we redefine the variational problems underlying fusion and provide iterative solutions thereby establishing a framework that guarantees cardinality consistent fusion." @default.
• W2964136933 created "2019-07-30" @default.
• W2964136933 creator A5040820835 @default.
• W2964136933 creator A5049634973 @default.
• W2964136933 creator A5049717117 @default.
• W2964136933 creator A5074908755 @default.
• W2964136933 creator A5090912186 @default.
• W2964136933 date "2019-12-01" @default.
• W2964136933 modified "2023-10-16" @default.
• W2964136933 title "Fusion of Finite-Set Distributions: Pointwise Consistency and Global Cardinality" @default.
• W2964136933 cites W1975731806 @default.
• W2964136933 cites W1994684794 @default.
• W2964136933 cites W1997942227 @default.
• W2964136933 cites W1999565686 @default.
• W2964136933 cites W2014787937 @default.
• W2964136933 cites W2026478216 @default.
• W2964136933 cites W2042587503 @default.
• W2964136933 cites W2049244691 @default.
• W2964136933 cites W2105905583 @default.
• W2964136933 cites W2106360727 @default.
• W2964136933 cites W2110012495 @default.
• W2964136933 cites W2110156410 @default.
• W2964136933 cites W2118525590 @default.
• W2964136933 cites W2137585588 @default.
• W2964136933 cites W2143833711 @default.
• W2964136933 cites W2148234182 @default.
• W2964136933 cites W2160643434 @default.
• W2964136933 cites W2161435744 @default.
• W2964136933 cites W2512871753 @default.
• W2964136933 cites W2526368751 @default.
• W2964136933 cites W2535464896 @default.
• W2964136933 cites W2588209989 @default.
• W2964136933 cites W2761761724 @default.
• W2964136933 cites W2762588164 @default.
• W2964136933 cites W4206742934 @default.
• W2964136933 cites W4234534407 @default.
• W2964136933 cites W4292691288 @default.
• W2964136933 cites W4293404332 @default.
• W2964136933 doi "https://doi.org/10.1109/taes.2019.2893083" @default.
• W2964136933 hasPublicationYear "2019" @default.
• W2964136933 type Work @default.
• W2964136933 sameAs 2964136933 @default.
• W2964136933 citedByCount "34" @default.
• W2964136933 countsByYear W29641369332017 @default.
• W2964136933 countsByYear W29641369332019 @default.
• W2964136933 countsByYear W29641369332020 @default.
• W2964136933 countsByYear W29641369332021 @default.
• W2964136933 countsByYear W29641369332022 @default.
• W2964136933 countsByYear W29641369332023 @default.
• W2964136933 crossrefType "journal-article" @default.
• W2964136933 hasAuthorship W2964136933A5040820835 @default.
• W2964136933 hasAuthorship W2964136933A5049634973 @default.
• W2964136933 hasAuthorship W2964136933A5049717117 @default.
• W2964136933 hasAuthorship W2964136933A5074908755 @default.
• W2964136933 hasAuthorship W2964136933A5090912186 @default.
• W2964136933 hasBestOaLocation W29641369334 @default.
• W2964136933 hasConcept C11413529 @default.
• W2964136933 hasConcept C118615104 @default.
• W2964136933 hasConcept C124101348 @default.
• W2964136933 hasConcept C126255220 @default.
• W2964136933 hasConcept C134306372 @default.
• W2964136933 hasConcept C137250428 @default.
• W2964136933 hasConcept C138885662 @default.
• W2964136933 hasConcept C154945302 @default.
• W2964136933 hasConcept C158525013 @default.
• W2964136933 hasConcept C185142706 @default.
• W2964136933 hasConcept C2776436953 @default.
• W2964136933 hasConcept C2777984123 @default.
• W2964136933 hasConcept C28826006 @default.
• W2964136933 hasConcept C33923547 @default.
• W2964136933 hasConcept C33954974 @default.
• W2964136933 hasConcept C41008148 @default.
• W2964136933 hasConcept C41895202 @default.
• W2964136933 hasConcept C83042196 @default.
• W2964136933 hasConcept C87117476 @default.
• W2964136933 hasConceptScore W2964136933C11413529 @default.
• W2964136933 hasConceptScore W2964136933C118615104 @default.
• W2964136933 hasConceptScore W2964136933C124101348 @default.
• W2964136933 hasConceptScore W2964136933C126255220 @default.
• W2964136933 hasConceptScore W2964136933C134306372 @default.
• W2964136933 hasConceptScore W2964136933C137250428 @default.
• W2964136933 hasConceptScore W2964136933C138885662 @default.
• W2964136933 hasConceptScore W2964136933C154945302 @default.
• W2964136933 hasConceptScore W2964136933C158525013 @default.
• W2964136933 hasConceptScore W2964136933C185142706 @default.
• W2964136933 hasConceptScore W2964136933C2776436953 @default.
• W2964136933 hasConceptScore W2964136933C2777984123 @default.
• W2964136933 hasConceptScore W2964136933C28826006 @default.
• W2964136933 hasConceptScore W2964136933C33923547 @default.
• W2964136933 hasConceptScore W2964136933C33954974 @default.
• W2964136933 hasConceptScore W2964136933C41008148 @default.
• W2964136933 hasConceptScore W2964136933C41895202 @default.
• W2964136933 hasConceptScore W2964136933C83042196 @default.
• W2964136933 hasConceptScore W2964136933C87117476 @default.
• W2964136933 hasFunder F4320334627 @default.
• W2964136933 hasIssue "6" @default.
• W2964136933 hasLocation W29641369331 @default.
• W2964136933 hasLocation W29641369332 @default.

• next