Sentence examples for lowering feature from inspiring English sources

To further confirm the relationship between the number of features captured in the model and the model performance, we performed another experiment in which we gradually decreased feature number "2 Stars UP PPII data in the SVM prediction model by lowering feature selection thresholds.

Similarly, in order to lower feature dimensions, we average the 63 matrices for the three component pairs separately.

The effect of lowering the feature dimensionality with principal component analysis and linear discriminant analysis is evaluated.

Experiments conducted on MSR Action 3D and MSR Daily Activity3D dataset show that our proposed approach outperforms state-of-the-art methods in accuracy with lower feature dimensions.

This result can well fit the practical requirement that SAR target recognition systems hope a better recognition result with a lower feature dimension.

For increasing the detection rate, windows with less image evidence and, hence, lower feature responses have to be taken into account.

To generate problem instances from each of the selected chemical graphs, we define w ∈ ℤ + to be a width between upper and lower feature vectors.

The input includes upper and lower feature vectors, and the output includes multi-trees G1 and G2 and a 1-augmented tree G3.

For example, if one feature lies below another, e.g. if the angle of one larger feature causes it to overshadow a nearby smaller feature, then the lower feature cannot be visualized.

Comparative studies with peer-reviewed results and two other well-known feature selection methods demonstrate that the proposed method can select dominant features in processing ECG signal, and achieve better classification performance with lower feature dimensionality.

Statistical results obtained by analyzing the two problems, and comparative studies with five well-known feature selection techniques, demonstrate that the method developed in this paper can achieve improvements in identification accuracy with lower feature dimensionality.