Sentence examples for l features of from inspiring English sources

Figure 5 shows an example of the multi-level thresholding technique applied to the R, H, Y, X, A, and L features of the image expressed in the RGB, HSV, YIQ, XYZ, LAB, and LUV color spaces, respectively, and the final segmentation map which results of the fusion of these (N s = 6) clusterings.

Six segmentation results (into K = 2 classes) associated to clustering model (TSMO) on the R, H, Y, X, A and L features of the top left input image expressed in the RGB, HSV, YIQ, XYZ, LAB, and LUV color spaces and final segmentation map (into K = 2 classes) resulting of the fusion of these six clusterings (bottom right) (see Table 1 for an objective and quantitative comparison).

After the R runs, we record for each g ∈ G, t ∈ T g and l∈[1, L the frequency F(g t l) with which the TF t was selected by the LARS in the top l features to predict the expression of gene g.

The feature selection (FS) [ 43] problem in pattern recognition may be stated as follows: given a set of N features, find the best subset consisting of l features that contribute most to classification/prediction accuracy.

This bias increases with the value of L because the larger the value of L is the higher the chance of the L features becoming correlated.

At the end of such a stability period a fluctuation occurs, the environment changes completely, that is each one of the L features composing the environment is complemented.

The obtained values of d-spacing are in good agreement with the previous study [13], confirming that the present films are indeed purely c-axis-oriented hexagonal-structured GaSe. Figure 2 XRD spectrum of GaSe thin films, showing the purely (000 l )-oriented features of the hexagonal-phase GaSe. Figure 3a shows the typical nanoindentation load displacement curve obtained for hexagonal GaSe films.

For a given feature x i across replicates, we set the minimum percentage (L) of features that must remain in at least one experimental condition with a flag indicating that the gene has been detected (AFE-flag = 1).

Number of applicant in area i. Utility of level l of feature k in area i (obtained by joint analysis methods; expressed in price per kilowatt of wind power).

These characteristics of egfp-CCAT1-L resemble known molecular features of the endogenous CCAT1-L.

In order to obtain the features of I L at a layer l, we stack the P l number of inferred feature maps (s^{I_{L}}_{p,l}) and obtain a single feature map (Z^{I_{L}}_{l}) where at each pixel location (x,y) in (Z^{I_{L}}_{l}), we get a feature vector of dimension P l ×1.