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• W2271840903 abstract "In this paper, scene recognition problem is investigated in detail by exploiting scene representation, dimension reduction and classification stages. Unlike the other studies, the proposed algorithm has preferred to model the overall structure of the scene instead of an object-based proposal. For that purpose, some of the visual representations like MPEG-7, Gist, BoW, Vlad and Fisher, are classified singly or jointly with Support Vector Machine and Random Forest. The evaluation tests are conducted on MIT indoor dataset [2] and from the results, %31 average precision has been attained by combining Scalable Color, Homogeneous Texture and Vlad with Support Vector Machine." @default.
• W2271840903 created "2016-06-24" @default.
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• W2271840903 date "2015-05-01" @default.
• W2271840903 modified "2023-09-25" @default.
• W2271840903 title "Represent, reduce, classify: The essential stages for scene recognition" @default.
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• W2271840903 doi "https://doi.org/10.1109/siu.2015.7130173" @default.
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