Sentence examples for reducing dimension from inspiring English sources
b The SVM classification of polarimetric parameters after reducing dimension.
Figure 5a, b, represents the classification by using the three polarimetric parameters and the polarimetric parameters after reducing dimension.
The effect of classification with polarimetric features after reducing dimension is better, and it can distinguish the categories.
Therefore, instead of compressing whole feature dimensions altogether, reducing dimension of Fisher Vectors and VLAD by selecting useful dimensions deserves to be investigated.
SVM is used to classify the data with only three polarimetric parameters and the data with polarimetric parameters after reducing dimension, respectively.
Based on this, using the methods of principal component analysis (short for PCA) and kernel principal component analysis (short for KPCA) to extract the feature from the fault features of shortlisted 16-dimensional data feature, then the effect of reducing dimension analysis are compared.
PCA is a powerful tool capable of reducing dimensions and revealing relationships among data items.
It includes two processes: raising dimensions to get nonlinear information and reducing dimensions to get classification features.
In recent years scientists have been trying both to increase the efficiency of solar cells, whilst at the same time reducing dimensions and costs.
Reducing dimensions down to the micrometer scale results in numerous advantages including small sample volumes, high throughput detection, and the ability to combine multiple processes.
WSD method with a solution space of reduced dimension.
