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For classification, this medication effect could result in increased separation between groups and therefore increased classification accuracy than would be the case in unmedicated samples.
As environmental variables have profound bearing on regulating plants' life, diversity and distribution, the use of such variables in NN classifier has increased classification accuracies significantly.
Assessment of our approach on simulated data sets indicates substantially increased classification accuracy of the presented method compared to two state-of-the-art approaches.
The use of ancillary data generally increased classification accuracy and showed a similar potential for increasing classification accuracy than the selection of the classifier.
It has been shown in recent publications [26], [10], that the optimization of spatial and temporal parameters can result in a significantly increased classification accuracy.
Jitter increased classification performance for slow stimuli (gratings and slow parts of natural movies; Figure 4A,B, right) and decreased performance for fast stimuli (fast parts of natural movies and flashed letter sequences; Figure 4C,D, right).
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Three-dimensional modeling using shape-from-shading principles may further increase classification accuracy.
This reduction in point density leads to increasing classification and interpolation errors (Anderson et al. [2006]).
In the offline analysis it has been shown that the proposed method significantly increases classification performance.
Using synthetic Landsat imagery increases classification accuracy compared to using single-date Landsat data, but accuracies were never as good as a classification based on original data.
On the other hand, having a very large feature vector will make the classification process slow and is not guaranteed to increase classification accuracy.
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