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The BOF model properly trained with codewords converted from SIFT descriptors produced larger classification general performance when compared to the design properly trained with SIFT attributes intact [ninety three]. Even for a macro impression dataset, the SIFT-dependent BOF model outperformed the types trained with texture characteristics [128].

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