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Star: Semi-supervised-Clustering Technique with Application for Retrieval of Video

contributor authorKumar, C.R.
contributor authorSujatha, S.N.N.
date accessioned2020-03-12T21:54:44Z
date available2020-03-12T21:54:44Z
date issued2014
identifier other6965045.pdf
identifier urihttps://libsearch.um.ac.ir:443/fum/handle/fum/1064855?locale-attribute=en&show=full
formatgeneral
languageEnglish
publisherIEEE
titleStar: Semi-supervised-Clustering Technique with Application for Retrieval of Video
typeConference Paper
contenttypeMetadata Only
identifier padid8198012
subject keywordsimage processing
subject keywordsn probability
subject keywordsn support vector machines
subject keywordsn text detection
subject keywordsn SVM
subject keywordsn connected components
subject keywordsn natural scene images
subject keywordsn posterior probability
subject keywordsn support vector machines
subject keywordsn text detection
subject keywordsn two level algorithm
subject keywordsn Classification algorithms
subject keywordsn Feature extraction
subject keywordsn Image color analysis
subject keywordsn Image edge detection
subject keywordsn Support vector machines
subject keywordsn Text analysis
subject keywordsn conditional random field
subject keywordsn connected component group
subject keywordsn graph cut
subject keywordsn natural scene image
identifier doi10.1109/DAS.2014.41
journal titlentelligent Computing Applications (ICICA), 2014 International Conference on
filesize279053
citations0


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