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Discarding temporal information does not seem to have a notable impact on the classification accuracy.
Purity limitations in samples can have a large impact on the classification accuracy.
The impact on the classification performance of the right channel and the right property choice is observed.
It is worth noting that the parameter values associated with each classifier have a direct impact on the classification accuracy.
These variables make just tiny changes to the real-world model but have a significant impact on the classification result.
Including several different orientations of the textures in the training data has great positive impact on the classification accuracies.
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Based upon hospital variances, adjustments were made to evaluate the impact of the classification on statewide infant mortality rate.
Within the framework, how to encode each local feature has significant impact on the final classification performance.
Bianconi and Fern a ́ ndez [35] show that parameters with a significant impact on the texture classification using GF are the frequency ratio and the standard deviations for the Gaussian envelope.
These results show that the spatial variability of CBP occurrence within sub-systems has a small impact on the exposure classification when the entire area under study is considered.
This implies that when other useful features, besides shape features, were selected in the SKINCAD, the segmentation variation related to borders may have impacted less on the classification accuracy than a system that uses border-sensitive features only.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com