Those Flesch-Kincaid trials came back to me as I read "Nabokov's Favorite Word Is Mauve: What the Numbers Reveal About the Classics, Bestsellers, and Our Own Writing," by Ben Blatt, which looks at the canon as a statistical gold mine to be dredged for patterns, variances, and singularities.
Analysis of networks of Scottish farms via sheep movements from July 2003 to June 2007 suggests that heterogeneities in movement patterns (variances and covariances of rates of movement on and off the farms) make a substantial contribution to the potential for the transmission of infectious diseases, quantified as R0, within the farm population.
Values VarLBP, LBP θ 0, and LBP θ 1 in Table 1 represent local binary pattern variance (which is a classical property of the LBP operator [19]) and the angles defined by them, as detailed in [18].
In the next step, texture features are extracted using a novel descriptor named local binary pattern variance (LBPV).
Motivated by recent results in mammogram tissue density classification, a novel methodology for automatic American College of Radiology Breast Imaging Reporting and Data System classification using local binary pattern variance descriptor is presented in this article.
Indeed, a substantial part of the pattern variance in the bimanual condition was explained by the nonlinear interaction term (Fig. 7 B, white bar).
Major drawbacks of the MKNN approach include repetitive historical multivariate patterns, underestimating variance and serial correlation, and reshuffling of historical data.
This 'graphical decomposition' of variation allows for a visual inspection and localization of differences in the patterns of variance and covariance (see also Herler et al., 2010).
In [20], local binary pattern (LBP) variance is used for rotation invariance, in which two principle orientations are found and local binary pattern variances are used for texture retrieval.
In addition, the pattern of variances and correlations suggested that sibling contrast effects influence ratings of difficult temperament.
The model is evaluated using SEM goodness-of-fit tests to determine if the pattern of variances and covariances in the data was consistent with the model specified.
