Sentence examples for binary variance from inspiring English sources

The local binary variance code histogram is computed as follows: LBPV P, R = ∑ i = 1 N ∑ j = 1 M w ( LBP P, R riu 2 ( i, j ), k ), k ∈ [ 0, K ] (2.11) w ( LBP P, R riu 2 ( i, j ), k ) = VAR P, R ( i, j ), LBP P, R riu 2 ( i, j ) = k 0 otherwise (2.12).

However, the permanent environment contribution of both sexes is large, such that the contribution from the binary variance taken over periods of weeks is relatively small, and also the change in the mean and thus phenotypic variance over ages is not great.

In this paper, we examine the robustness of binary, variance-balanced, incomplete block designs using the eigenvalues of the associated information matrix when specific observations are missing.

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.

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].

For these data, multiple, valid, binary, and variance fMRI priors proved best for a standard Minimum Norm inversion.

In the binary case, the variance may not be exactly equal to the variance of Bernoulli distribution for a given set of covariate values.

The increase in the width of the CIs associated with the corrected estimates of RR points to three facts: First, with a binary response, the variance increases with the value of the point estimate as the risk ratio increases, so does its variance.

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.

For binary traits, the variance explained is computed based on the liability threshold model.