The distributions of both THI and HTDMY in the data set indicated a large range for these environmental descriptors (Figure 2).
The subjects used 2 70 descriptors for the stimuli, in median 9, 8.5, 16 and 24 descriptors (Figure 1) for punctate pressure, blunt pressure, laser heat and electrical stimuli (p<0.001), without substantial differences between first and second ratings in the repetitions (e.g., in median 4.5 items for both ratings of punctuate pain).
The sparsity of the matrix pencil of the decoupled system in the descriptor form is shown in Figure 7.
The sparsity of the matrix pencil of the decoupled system in the descriptor form is given in Figure 4.
The output of the SIFT feature extractor is a set of keypoints represented by their location, scale, orientation, and 128-dimensional descriptor (see Figure 2).
For example, Parameter values and references cargos contain Compound identifiers, whereas Model PMML cargo contains Property and Descriptor identifiers (Figure 7, dashed arrows).
For gesture feature matrix G, each row vector corresponds to a frame in gesture video and each column corresponds to a histogram quantity of HOG feature descriptor (see Figure 3).
For face feature matrix F, each row vector corresponds to local grid in facial image and each column corresponds to a histogram quantity of HOG feature descriptor (see Figure 2).
Figure 4 shows the average f-measure for each class using MFCC as frame-level descriptors, while Figure 5 shows the same results using the descriptors chosen by feature selection.
Figure 2 Overview of the corrosion descriptors design.
Fifteen of these 19 descriptors were among the 22 most used descriptors (Table S1, Figure 1); the four remaining descriptors are HOF, qC-, ΔGs, and ΔHf.
