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Keywords: Semantic gap
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Journal Articles
International Journal of Intelligent Computing and Cybernetics (2017) 10 (3): 387–406.
Published: 14 August 2017
... sets with the proposed novel feature set and SVM classifier has provided 92.68 percent average classification accuracy, using ten-fold cross validation approach. The set of proposed features efficiently represent visual information and are therefore capable of narrowing the semantic gap between low...
