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Fig. 2 Classification accuracy for filter methods.
Mean classification accuracy for all descriptors on the Brodatz dataset.
Mean classification accuracy for all descriptors on the UIUC dataset.
Mean classification accuracy for all descriptors on the Kylberg dataset.
Mean classification accuracy for all descriptors on the Virus dataset.
The average total classification accuracy for all subjects was 95.1 %.
Table 3 Average classification accuracy for direct versus hierarchical approaches.
Table 2 compares the classification accuracy for different point proportions.
The classification accuracy for W = 5 was 95.1 ± 1.9%%.
The results proved the proposed method effective by having the highest classification accuracy for all tests.
The classification accuracy for each label was quite different and depended on the benchmark.
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