Matches in SemOpenAlex for { <https://semopenalex.org/work/W2017218165> ?p ?o ?g. }
Showing items 1 to 98 of
98
with 100 items per page.
- W2017218165 endingPage "66" @default.
- W2017218165 startingPage "59" @default.
- W2017218165 abstract "In this paper, we propose a probabilistic framework for model-based clustering of direction of arrival (DOA) data to obtain stable sound source localization (SSL) estimates. Model-based clustering has been shown capable of handling highly overlapped and noisy datasets, such as those involved in DOA detection. Although the Gaussian mixture model is commonly used for model-based clustering, we propose use of the von Mises mixture model as more befitting circular DOA data than a Gaussian distribution. The EM framework for the von Mises mixture model in a unit hyper sphere is degenerated for the 2D case and used as such in the proposed method. We also use a histogram of the dataset to initialize the number of clusters and the initial values of parameters, thereby saving calculation time and improving the efficiency. Experiments using simulated and real-world datasets demonstrate the performance of the proposed method." @default.
- W2017218165 created "2016-06-24" @default.
- W2017218165 creator A5040991293 @default.
- W2017218165 creator A5059562812 @default.
- W2017218165 date "2013-03-30" @default.
- W2017218165 modified "2023-09-24" @default.
- W2017218165 title "Model-based Clustering of DOA Data Using von Mises Mixture Model for Sound Source Localization" @default.
- W2017218165 cites W141203745 @default.
- W2017218165 cites W1572557551 @default.
- W2017218165 cites W1594924988 @default.
- W2017218165 cites W2063688916 @default.
- W2017218165 cites W2099179522 @default.
- W2017218165 cites W2099863732 @default.
- W2017218165 cites W2145001205 @default.
- W2017218165 cites W2158196600 @default.
- W2017218165 cites W285277413 @default.
- W2017218165 cites W96390954 @default.
- W2017218165 cites W115425620 @default.
- W2017218165 doi "https://doi.org/10.5391/ijfis.2013.13.1.59" @default.
- W2017218165 hasPublicationYear "2013" @default.
- W2017218165 type Work @default.
- W2017218165 sameAs 2017218165 @default.
- W2017218165 citedByCount "2" @default.
- W2017218165 countsByYear W20172181652013 @default.
- W2017218165 countsByYear W20172181652018 @default.
- W2017218165 crossrefType "journal-article" @default.
- W2017218165 hasAuthorship W2017218165A5040991293 @default.
- W2017218165 hasAuthorship W2017218165A5059562812 @default.
- W2017218165 hasBestOaLocation W20172181651 @default.
- W2017218165 hasConcept C115961682 @default.
- W2017218165 hasConcept C121332964 @default.
- W2017218165 hasConcept C124101348 @default.
- W2017218165 hasConcept C135628077 @default.
- W2017218165 hasConcept C153180895 @default.
- W2017218165 hasConcept C154945302 @default.
- W2017218165 hasConcept C155165730 @default.
- W2017218165 hasConcept C163716315 @default.
- W2017218165 hasConcept C172051844 @default.
- W2017218165 hasConcept C198138136 @default.
- W2017218165 hasConcept C21822782 @default.
- W2017218165 hasConcept C41008148 @default.
- W2017218165 hasConcept C49937458 @default.
- W2017218165 hasConcept C53533937 @default.
- W2017218165 hasConcept C61224824 @default.
- W2017218165 hasConcept C62520636 @default.
- W2017218165 hasConcept C73555534 @default.
- W2017218165 hasConcept C76155785 @default.
- W2017218165 hasConcept C97355855 @default.
- W2017218165 hasConceptScore W2017218165C115961682 @default.
- W2017218165 hasConceptScore W2017218165C121332964 @default.
- W2017218165 hasConceptScore W2017218165C124101348 @default.
- W2017218165 hasConceptScore W2017218165C135628077 @default.
- W2017218165 hasConceptScore W2017218165C153180895 @default.
- W2017218165 hasConceptScore W2017218165C154945302 @default.
- W2017218165 hasConceptScore W2017218165C155165730 @default.
- W2017218165 hasConceptScore W2017218165C163716315 @default.
- W2017218165 hasConceptScore W2017218165C172051844 @default.
- W2017218165 hasConceptScore W2017218165C198138136 @default.
- W2017218165 hasConceptScore W2017218165C21822782 @default.
- W2017218165 hasConceptScore W2017218165C41008148 @default.
- W2017218165 hasConceptScore W2017218165C49937458 @default.
- W2017218165 hasConceptScore W2017218165C53533937 @default.
- W2017218165 hasConceptScore W2017218165C61224824 @default.
- W2017218165 hasConceptScore W2017218165C62520636 @default.
- W2017218165 hasConceptScore W2017218165C73555534 @default.
- W2017218165 hasConceptScore W2017218165C76155785 @default.
- W2017218165 hasConceptScore W2017218165C97355855 @default.
- W2017218165 hasIssue "1" @default.
- W2017218165 hasLocation W20172181651 @default.
- W2017218165 hasOpenAccess W2017218165 @default.
- W2017218165 hasPrimaryLocation W20172181651 @default.
- W2017218165 hasRelatedWork W1572557551 @default.
- W2017218165 hasRelatedWork W1972168313 @default.
- W2017218165 hasRelatedWork W1980323687 @default.
- W2017218165 hasRelatedWork W2009206745 @default.
- W2017218165 hasRelatedWork W2020410281 @default.
- W2017218165 hasRelatedWork W2072571971 @default.
- W2017218165 hasRelatedWork W2094219289 @default.
- W2017218165 hasRelatedWork W2141001348 @default.
- W2017218165 hasRelatedWork W2353829581 @default.
- W2017218165 hasRelatedWork W2359323934 @default.
- W2017218165 hasRelatedWork W2362838727 @default.
- W2017218165 hasRelatedWork W2363993382 @default.
- W2017218165 hasRelatedWork W2379508760 @default.
- W2017218165 hasRelatedWork W2786702263 @default.
- W2017218165 hasRelatedWork W2889784867 @default.
- W2017218165 hasRelatedWork W3007151672 @default.
- W2017218165 hasRelatedWork W3100043883 @default.
- W2017218165 hasRelatedWork W3176374155 @default.
- W2017218165 hasRelatedWork W3204201947 @default.
- W2017218165 hasRelatedWork W933163513 @default.
- W2017218165 hasVolume "13" @default.
- W2017218165 isParatext "false" @default.
- W2017218165 isRetracted "false" @default.
- W2017218165 magId "2017218165" @default.
- W2017218165 workType "article" @default.