Matches in SemOpenAlex for { <https://semopenalex.org/work/W3042543979> ?p ?o ?g. }
Showing items 1 to 94 of
94
with 100 items per page.
- W3042543979 endingPage "262" @default.
- W3042543979 startingPage "246" @default.
- W3042543979 abstract "This paper presents a sparse Bayesian learning (SBL) algorithm for linear inverse problems with a high order total variation (HOTV) sparsity prior. For the problem of sparse signal recovery, SBL often produces more accurate estimates than maximum a posteriori estimates, including those that rely on l1 regularization. Moreover, rather than a single signal estimate, SBL yields a full posterior density estimate which can be used for uncertainty quantification. However, SBL is only immediately applicable to problems having a direct sparsity prior, or to those that can be formed via synthesis. This paper demonstrates how a problem with an HOTV sparsity prior can be formulated via synthesis, and then develops a corresponding Bayesian learning method. This expands the class of problems available to Bayesian learning to include, e.g., inverse problems dealing with the recovery of piecewise smooth functions or signals from data. Numerical examples are provided to demonstrate how this new technique is effectively employed." @default.
- W3042543979 created "2020-07-23" @default.
- W3042543979 creator A5052474931 @default.
- W3042543979 creator A5072598928 @default.
- W3042543979 date "2023-06-01" @default.
- W3042543979 modified "2023-09-23" @default.
- W3042543979 title "Estimation and Uncertainty Quantification for Piecewise Smooth Signal Recovery" @default.
- W3042543979 cites W1633751774 @default.
- W3042543979 cites W1648445109 @default.
- W3042543979 cites W1663973292 @default.
- W3042543979 cites W2037981501 @default.
- W3042543979 cites W2049633694 @default.
- W3042543979 cites W2071284784 @default.
- W3042543979 cites W2071418062 @default.
- W3042543979 cites W2078204800 @default.
- W3042543979 cites W2083911739 @default.
- W3042543979 cites W2103559027 @default.
- W3042543979 cites W2107844156 @default.
- W3042543979 cites W2107861471 @default.
- W3042543979 cites W2111827177 @default.
- W3042543979 cites W2115606304 @default.
- W3042543979 cites W2115755118 @default.
- W3042543979 cites W2118767721 @default.
- W3042543979 cites W2124855287 @default.
- W3042543979 cites W2135046866 @default.
- W3042543979 cites W2144883079 @default.
- W3042543979 cites W2145096794 @default.
- W3042543979 cites W2148154358 @default.
- W3042543979 cites W2162116083 @default.
- W3042543979 cites W2164278908 @default.
- W3042543979 cites W2168745297 @default.
- W3042543979 cites W2570948607 @default.
- W3042543979 cites W2594699239 @default.
- W3042543979 cites W2742691919 @default.
- W3042543979 cites W2914382372 @default.
- W3042543979 cites W866015105 @default.
- W3042543979 doi "https://doi.org/10.4208/jcm.2110-m2021-0157" @default.
- W3042543979 hasPublicationYear "2023" @default.
- W3042543979 type Work @default.
- W3042543979 sameAs 3042543979 @default.
- W3042543979 citedByCount "2" @default.
- W3042543979 countsByYear W30425439792023 @default.
- W3042543979 crossrefType "journal-article" @default.
- W3042543979 hasAuthorship W3042543979A5052474931 @default.
- W3042543979 hasAuthorship W3042543979A5072598928 @default.
- W3042543979 hasBestOaLocation W30425439792 @default.
- W3042543979 hasConcept C105795698 @default.
- W3042543979 hasConcept C11413529 @default.
- W3042543979 hasConcept C124851039 @default.
- W3042543979 hasConcept C127413603 @default.
- W3042543979 hasConcept C134306372 @default.
- W3042543979 hasConcept C164660894 @default.
- W3042543979 hasConcept C199360897 @default.
- W3042543979 hasConcept C201995342 @default.
- W3042543979 hasConcept C2779843651 @default.
- W3042543979 hasConcept C2989281035 @default.
- W3042543979 hasConcept C33923547 @default.
- W3042543979 hasConcept C41008148 @default.
- W3042543979 hasConcept C96250715 @default.
- W3042543979 hasConceptScore W3042543979C105795698 @default.
- W3042543979 hasConceptScore W3042543979C11413529 @default.
- W3042543979 hasConceptScore W3042543979C124851039 @default.
- W3042543979 hasConceptScore W3042543979C127413603 @default.
- W3042543979 hasConceptScore W3042543979C134306372 @default.
- W3042543979 hasConceptScore W3042543979C164660894 @default.
- W3042543979 hasConceptScore W3042543979C199360897 @default.
- W3042543979 hasConceptScore W3042543979C201995342 @default.
- W3042543979 hasConceptScore W3042543979C2779843651 @default.
- W3042543979 hasConceptScore W3042543979C2989281035 @default.
- W3042543979 hasConceptScore W3042543979C33923547 @default.
- W3042543979 hasConceptScore W3042543979C41008148 @default.
- W3042543979 hasConceptScore W3042543979C96250715 @default.
- W3042543979 hasIssue "2" @default.
- W3042543979 hasLocation W30425439791 @default.
- W3042543979 hasLocation W30425439792 @default.
- W3042543979 hasOpenAccess W3042543979 @default.
- W3042543979 hasPrimaryLocation W30425439791 @default.
- W3042543979 hasRelatedWork W1503051695 @default.
- W3042543979 hasRelatedWork W2009757463 @default.
- W3042543979 hasRelatedWork W2072006507 @default.
- W3042543979 hasRelatedWork W2072084563 @default.
- W3042543979 hasRelatedWork W2335620337 @default.
- W3042543979 hasRelatedWork W2368026886 @default.
- W3042543979 hasRelatedWork W3204175910 @default.
- W3042543979 hasRelatedWork W3205753110 @default.
- W3042543979 hasRelatedWork W4232993046 @default.
- W3042543979 hasRelatedWork W2145977033 @default.
- W3042543979 hasVolume "41" @default.
- W3042543979 isParatext "false" @default.
- W3042543979 isRetracted "false" @default.
- W3042543979 magId "3042543979" @default.
- W3042543979 workType "article" @default.