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dc.contributor.authorYang, Xiangyuen_US
dc.date.accessioned2008-09-17T09:05:01Z
dc.date.available2008-09-17T09:05:01Z
dc.date.copyright2004en_US
dc.date.issued2004
dc.identifier.urihttp://hdl.handle.net/10356/2540
dc.description.abstractThis thesis presents a new mixture density estimation method that is capable of estimating the number of components by using group membership functions.en_US
dc.rightsNanyang Technological Universityen_US
dc.subjectDRNTU::Engineering::Computer science and engineering::Computing methodologies::Pattern recognition
dc.titleMixture analysis and kernel density estimation with applications to image segmentation and retrievalen_US
dc.typeThesisen_US
dc.contributor.supervisorLiu, Junen_US
dc.contributor.schoolSchool of Computer Engineeringen_US
dc.description.degreeDoctor of Philosophy (EEE)en_US
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