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Gender-controlled experiments were performed to measure the performance of features for each gender separately.
Noise has a larger effect on the performance of features than gear mesh damping.
Also, our algorithm considers the performance of features in each class, rather than globally for all classes.
Yet the combination of certain features may have a net effect that does not necessarily follow from the individual performance of features in that group [12].
The seizure detection performance of features before and after fine-tuning is presented in Table 3.
Cross-validation scores were calculated to help evaluate the predictive performance of features selected by SVM-RFE-CV.
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These issues are critical to the design and performance of feature partitioning approaches to PCA computation.
We conduct experiments on two face datasets to evaluate the performance of feature selection in terms of classification and clustering, which demonstrate the effectiveness of the proposed algorithm.
At the same time, several studies analyzed the performance of feature vectors on different tasks.
In preliminary experiments, we evaluated the individual performance of feature groups (Table 5).
As this quality degradation significantly influences the performance of feature extraction and matching processes, it must be handled properly.
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