Matches in SemOpenAlex for { <https://semopenalex.org/work/W2019915366> ?p ?o ?g. }
Showing items 1 to 97 of
97
with 100 items per page.
- W2019915366 endingPage "220" @default.
- W2019915366 startingPage "209" @default.
- W2019915366 abstract "The following problem arises in Computer vision, diagnostic medical imaging, and remote sensing: At each pixel in an image a vector of observations is measured, and the distribution of these measurements is approximated by a mixture model. The goal is to estimate the mixing proportions of the classes by pixel in the image together with any unknown parameters in the latent distributions. In many problems of this type, it is appropriate to incorporate constraints on mixing proportions. This article deals with spatial smoothness constraints, which have been found useful in analyzing sequences of emission tomography images. An estimation methodology using penalized likelihood with multiple smoothing parameters is proposed. Numerical methods for implementing this methodology are developed. This includes an importance sampling technique for approximating the effective degrees of freedom of the solution. The methodology is illustrated with an application to the analysis of a dynamic emission tomography study using a C 11-labeled thymidine tracer. Some simulations motivated by this example are also presented." @default.
- W2019915366 created "2016-06-24" @default.
- W2019915366 creator A5055780546 @default.
- W2019915366 date "1993-03-01" @default.
- W2019915366 modified "2023-09-27" @default.
- W2019915366 title "Mixture Estimation From Multichannel Image Data" @default.
- W2019915366 cites W1970657725 @default.
- W2019915366 cites W1977825281 @default.
- W2019915366 cites W1981367467 @default.
- W2019915366 cites W1982276155 @default.
- W2019915366 cites W1983472209 @default.
- W2019915366 cites W1991728440 @default.
- W2019915366 cites W2019139675 @default.
- W2019915366 cites W2020999234 @default.
- W2019915366 cites W2025773263 @default.
- W2019915366 cites W2028116615 @default.
- W2019915366 cites W2029461610 @default.
- W2019915366 cites W2066697916 @default.
- W2019915366 cites W2086784799 @default.
- W2019915366 cites W2089494523 @default.
- W2019915366 cites W2090203522 @default.
- W2019915366 cites W2097704405 @default.
- W2019915366 cites W2124251574 @default.
- W2019915366 cites W2126759246 @default.
- W2019915366 cites W2163690080 @default.
- W2019915366 cites W2164086668 @default.
- W2019915366 cites W2169360298 @default.
- W2019915366 cites W4240880166 @default.
- W2019915366 cites W4244155866 @default.
- W2019915366 doi "https://doi.org/10.1080/01621459.1993.10594312" @default.
- W2019915366 hasPublicationYear "1993" @default.
- W2019915366 type Work @default.
- W2019915366 sameAs 2019915366 @default.
- W2019915366 citedByCount "2" @default.
- W2019915366 crossrefType "journal-article" @default.
- W2019915366 hasAuthorship W2019915366A5055780546 @default.
- W2019915366 hasConcept C102634674 @default.
- W2019915366 hasConcept C105795698 @default.
- W2019915366 hasConcept C11413529 @default.
- W2019915366 hasConcept C115961682 @default.
- W2019915366 hasConcept C121332964 @default.
- W2019915366 hasConcept C126255220 @default.
- W2019915366 hasConcept C134306372 @default.
- W2019915366 hasConcept C138777275 @default.
- W2019915366 hasConcept C153180895 @default.
- W2019915366 hasConcept C154945302 @default.
- W2019915366 hasConcept C160633673 @default.
- W2019915366 hasConcept C182081679 @default.
- W2019915366 hasConcept C208081375 @default.
- W2019915366 hasConcept C31972630 @default.
- W2019915366 hasConcept C33923547 @default.
- W2019915366 hasConcept C3770464 @default.
- W2019915366 hasConcept C41008148 @default.
- W2019915366 hasConcept C49781872 @default.
- W2019915366 hasConcept C61224824 @default.
- W2019915366 hasConcept C62520636 @default.
- W2019915366 hasConceptScore W2019915366C102634674 @default.
- W2019915366 hasConceptScore W2019915366C105795698 @default.
- W2019915366 hasConceptScore W2019915366C11413529 @default.
- W2019915366 hasConceptScore W2019915366C115961682 @default.
- W2019915366 hasConceptScore W2019915366C121332964 @default.
- W2019915366 hasConceptScore W2019915366C126255220 @default.
- W2019915366 hasConceptScore W2019915366C134306372 @default.
- W2019915366 hasConceptScore W2019915366C138777275 @default.
- W2019915366 hasConceptScore W2019915366C153180895 @default.
- W2019915366 hasConceptScore W2019915366C154945302 @default.
- W2019915366 hasConceptScore W2019915366C160633673 @default.
- W2019915366 hasConceptScore W2019915366C182081679 @default.
- W2019915366 hasConceptScore W2019915366C208081375 @default.
- W2019915366 hasConceptScore W2019915366C31972630 @default.
- W2019915366 hasConceptScore W2019915366C33923547 @default.
- W2019915366 hasConceptScore W2019915366C3770464 @default.
- W2019915366 hasConceptScore W2019915366C41008148 @default.
- W2019915366 hasConceptScore W2019915366C49781872 @default.
- W2019915366 hasConceptScore W2019915366C61224824 @default.
- W2019915366 hasConceptScore W2019915366C62520636 @default.
- W2019915366 hasIssue "421" @default.
- W2019915366 hasLocation W20199153661 @default.
- W2019915366 hasOpenAccess W2019915366 @default.
- W2019915366 hasPrimaryLocation W20199153661 @default.
- W2019915366 hasRelatedWork W121273120 @default.
- W2019915366 hasRelatedWork W179095936 @default.
- W2019915366 hasRelatedWork W1971035997 @default.
- W2019915366 hasRelatedWork W2019915366 @default.
- W2019915366 hasRelatedWork W2049428078 @default.
- W2019915366 hasRelatedWork W2090093270 @default.
- W2019915366 hasRelatedWork W2309573947 @default.
- W2019915366 hasRelatedWork W2337415362 @default.
- W2019915366 hasRelatedWork W2740820121 @default.
- W2019915366 hasRelatedWork W4312857205 @default.
- W2019915366 hasVolume "88" @default.
- W2019915366 isParatext "false" @default.
- W2019915366 isRetracted "false" @default.
- W2019915366 magId "2019915366" @default.
- W2019915366 workType "article" @default.