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The accuracy (%) of the presented approaches.

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Figshare2017-09-15 更新2026-04-29 收录
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Each row corresponds to different descriptor. The first part of the shortcut represents a type of pooling encoder, while the second part is a type of local descriptor. Each column corresponds to different classifier. Original classifier corresponds to linear SVM with C = 1 (the classifier originally used by Cimpoi et al. [1]). The other classifiers use Bayes optimization (see Section Method for details). The best results for each classifier are in bold.
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2017-09-15
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