Sentence examples for feature orders from inspiring English sources

After the 2DSA processes the noise measured from test vehicles during wide-open-throttle operation, dominant annoying transmission noise components can be extracted, and their sources can be identified through comparing feature orders obtained from geometric analysis.

For two features, different feature orders in fusion will result in different recognition performances.

SubXPCA is shown to be robust in its performance with respect to feature ordering and overlapped sub-patterns.

Fig. 7 MFS based feature ordering.

At the same time, the feature order in fusion has a certain influence on the performance.

Finally, the influence of the feature order in fusion is discussed in experiment 5.

In our current research, the principle of feature ordering is the computational complexity for extracting each feature.

In order to discuss the influence of the feature order in fusion, we reversely take SURF as the basic feature and Gabor as the minor feature.

The SVM classifier is run for each category pairs in the databases and consequently an assumption is carried out for the best feature order.

For verifying our working hypothesis about minimal influence of the feature order in the input data vector, the set P3 was used with the reversed order of features giving thus the set called P7.

Based on the feature order, Incremental Feature Selection (IFS) method was employed to select the optimal feature subset.