Sentence examples similar to centers denotes from inspiring English sources

The word "middle" denotes a center, where balance (and hopefully harmony) reigns supreme.

Proof By Theorem 1.12, x n has unique asymptotic center denoted by x.

We show that both performance measures can be potentially enhanced by carefully setting a certain design parameter that reflects the priority level of the users located in the region around the cell center, denoted as Zone 0, in terms of the achievable rate.

Specifically, since the frames have small differences in the still scenes, the distance of the ith frame from its cluster center, denoted as d i, is used as an additional measure of image quality.

In the current example, the N × 2N part-0 PU has to be refined in the next iteration with the new search center, denoted by P2; this procedure repeats until the aforementioned stop condition is satisfied.

NY 43 continues through forested areas of Stephentown to Stephentown Center, denoted by a cluster of homes near the intersection of NY 43 and Newton Road.

We found that smaller residuals were obtained by converting log-transformed f-values to z-scores, i.e. Furthermore, to deal with the intercept, the matrix F is mean centered, denoted by.

They included two observed determinants called "fixed effects": the IVF center (Parisian center/medium-sized city center) denoted β c e n t e r i succ and β c e n t e r i disc and the woman's age at the first attempt divided into five classes (age <25/25-29/30-34/35-39/≥40 years) denoted β a g e i succ and β a g e i disc.

The ATHENA observational cohort has been made possible by the participating patients and through the collaborative efforts of the following physicians working at Netherlands HIV Treatment Centers: '∗' denotes site coordinating physician.

Let us look at the graphical example shown in Figure 2, where cluster centers are denoted by {C j |j = 1, 2, 3} and data samples are denoted by {D i |i = 1,2,...,8}.

Given two data points A = [a1, a2,...,a n ] and B = [b1,b2,...,b n ], the Euclidean distance between A and B is given by d i s ( A, B ) = ( a 1 - b 1 ) 2 + ( a 2 - b 2 ) 2 +... + ( a n - b n ) 2 (2). Figure 1 shows an example for the distance between a data sample and its cluster center, where cluster centers are denoted by {C j |j = 1, 2, 3} and data samples are denoted by {D i |i = 1,2,...,8}.