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![]() | Document Date: 2013-01-07 18:18:03Open Document File Size: 912,79 KBShare Result on FacebookCityClustering / Transforming Cluster / Gunsan / /CompanyKhronos / Goldman S.A. / O’Reilly Media Inc. / Case / South Korea 2 Human Communication Technologies Laboratory / / /FacilityUniversity of British Columbia / Technical University of Berlin / OpenCV Library / Kunsan National University / /IndustryTermsegmentation clustering algorithm / real-world applications / k-means algorithm / segmentation algorithms / feature-based clustering segmentation algorithm / accelerated hardware processing / digital image segmentation algorithms / select segmentation algorithm / developers designing applications / e.g. mobile devices / component labelling algorithm / lowpower consuming algorithms / standards / segmentation algorithm / mainstream applications / post processing / conventional k-means algorithm / post-processing / software developers / diverse applications / detection algorithms / mean shift algorithm / fuzzy c-means algorithm / /OrganizationInstitute for Technical Informatics / Kunsan National University / Technical University of Berlin / Oceanographic and Atmospheric Research Lab / University of British Columbia / Vancouver / /PersonDaesik Jang / Sidney Fels / Gregor Miller / /ProgrammingLanguageC++ / /ProvinceOrStateIndiana / /PublishedMediumThe Official Guide / /RegionSouth Korea / /Technologydetailed algorithm / segmentation clustering algorithm / lowpower consuming algorithms / k-means algorithm / automatically select segmentation algorithm / segmentation algorithms / feature-based clustering segmentation algorithm / component labelling algorithm / segmentation algorithm / conventional k-means algorithm / mean shift algorithm / clustering algorithm / modified algorithm / simulation system / detection algorithms / Image Processing / fuzzy c-means algorithm / digital image segmentation algorithms / mobile devices / /URLhttp /SocialTag |