Sentence examples for symmetric correlation from inspiring English sources

To this end, for each observer, every 4 ms, independently for electrode OTR and OTL, we transformed the 380×240 pixelspatialtial frequency bands representing each expression into a one-dimensional vector with 38×24×5 entries, and cross correlate (Pearson) them to produce a symmetric correlation matrix per electrode where each (x, y) correlation represents the similarity between two expressions.

To this end, we turn the 380×240 image pixels×5 Spatial Frequency bands representing each expression into a one-dimensional vector of 38×24×5 entries (by compressing the images by a factor of 10), and cross correlate (Pearson) them to produce a symmetric correlation matrix where each (x, y) correlation represents the similarity between two expressions.

For clarity, all values below the diagonal of the symmetric correlation matrix have been omitted.

The scenarios set is described by a multivariate normal distribution generated via a sampling technique with symmetric correlation matrix.

In the particular case of binary symmetric correlation between the sources, Wyner's scheme can be extended to state-of-the-art binary linear codes, such as Turbo [5, 17], and low-density parity-check (LDPC) codes [18], approaching the Slepian-Wolf limit.

Although STMDs respond better to black targets [9] and light target sensitivity is not modeled here, a symmetric correlation operation could be established for a white target detector by interchange of the signal roles in Equation 4. This would provide white target sensitivity by correlating a delayed ON channel with an undelayed OFF channel.

Additionally, the matrix was fairly symmetric (QAP correlation of matrix vs. transposed matrix, r = 0.625, p<0.001; participant total in- and out-degrees were not significantly different: Wilcoxon z = 0.16, p = 0.872).

Generalized Estimating Equation (GEE) methods, using a compound symmetric working correlation structure, were used to model this dependence.

We then generated a symmetric cross-correlation matrix of dimensions equal to the number of seed voxels by the number of seed mask voxels.

More sophisticated approaches propose the employment of other texture analysis procedures, specifically the spatial gray-level dependence matrices (SGLDM) [ 12, 14] and the center-symmetric auto-correlation method (CSAC) [ 3].

Hence, the 3 × 3 block of correlations of American measures with themselves is symmetric but the correlation of American measures with French measures is not.