Swendsen-Wang Cuts sampling for spatially constrained Dirichlet process mixture models
- Author
- XIANGRONG WANG1 2 ; JIEYU ZHAO1
[1] Research Institute of Computer Science and Technology, Ningbo University, Ningbo, China
[2] College of Information Engineering, Ningbo Dahongying University, Ningbo, China - Source
Graphical models. 2014, Vol 76, Num 1-6, pp 496-506, 11 p ; ref : 31 ref
- CODEN
- GRMOFM
- ISSN
- 1524-0703
- Scientific domain
- Computer science; Telecommunications
- Publisher
- Elsevier, Amsterdam
- Publication country
- Netherlands
- Document type
- Article
- Language
- English
- Author keyword
- Bayesian nonparametric models Collapsed Gibbs sampling Dirichlet process Markov random fields Swendsen-Wang Cuts
- Keyword (fr)
- Ajustement modèle Approche probabiliste Donnée spatiale Echantillonnage Gibbs Estimation Bayes Estimation non paramétrique Inférence Loi Dirichlet Loi a posteriori Mise à jour Modèle Markov Modélisation Méthode Monte Carlo Méthode graphe Problème NP difficile Représentation spatiale Résultat expérimental Temps mélangeage Théorie graphe Théorie mélange Traitement image
- Keyword (en)
- Model matching Probabilistic approach Spatial data Gibbs sampling Bayes estimation Non parametric estimation Inference Dirichlet distribution Posterior distribution Updating Markov model Modeling Monte Carlo method Graph method NP hard problem Spatial representation Experimental result Mixing time Graph theory Mixture theory Image processing
- Keyword (es)
- Ajustamiento modelo Enfoque probabilista Dato espacial Muestreo Gibbs Estimación Bayes Estimación no paramétrica Inferencia Distribución Dirichlet Ley a posteriori Actualización Modelo Markov Modelización Método Monte Carlo Método grafo Problema NP duro Representación espacial Resultado experimental Tiempo mezcladura Teoría grafo Teoría mezcla Procesamiento imagen
- Classification
- Pascal
- 001 Exact sciences and technology / 001A Sciences and techniques of general use / 001A02 Mathematics / 001A02H Probability and statistics / 001A02H02 Statistics / 001A02H02G Parametric inference
- Pascal
- 001 Exact sciences and technology / 001D Applied sciences / 001D02 Computer science; control theory; systems / 001D02A Theoretical computing / 001D02A06 Information retrieval. Graph
- Pascal
- 001 Exact sciences and technology / 001D Applied sciences / 001D02 Computer science; control theory; systems / 001D02C Artificial intelligence / 001D02C03 Pattern recognition. Digital image processing. Computational geometry
- Discipline
- Computer science : theoretical automation and systems Mathematics
- Origin
- Inist-CNRS
- Database
- PASCAL
- INIST identifier
- 29070393
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
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DOI
10.1016/j.gmod.2014.03.008 
https://dx.doi.org/10.1016/j.gmod.2014.03.008
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