Sentence examples for representation to detect from inspiring English sources

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We compare the proposed representation with the polyhedral representation to detect collision between two objects.

Recently, we developed the SYNTENATOR software [20], which uses dynamic programming in combination with a partial order graph representation to detect conserved gene orders in multiple genomes.

PROC UNIVARIATE provided an array of tests (Shapiro Wilk, Kolmogorov Smirnov, Cramer von Mises and Anderson Darling) for departure of the data distribution from normality, and graphic tools (box plot, stem-and-leaf representation) to detect outlying data.

PROC UNIVARIATE provided an array of tests (Shapiro-Wilk, Kolmogorov-Smirnov, Cramer-von Mises and Anderson-Darling) for departure of data distribution from normal plus graphic tools (box plot and stem-and-leaf representation) to detect outlying data.

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A primary approach to this problem has been to utilize time-frequency signal representations to detect transient activity and to disentangle overlapping processes.

On the other hand, the parametric representation helps to detect and to eliminate unwanted branches of the implicitly defined curves.

Such a representation, sufficient to detect faces and discriminate them from most stimuli encountered in the natural environment, can not support selectivity for conspecifics' faces.

Systems that participated in the 4th Learning Language in Logic Workshop (LLL, 2005) explored knowledge representation methods to detect PPIs.

In this study, a proximity graph representation approach to detect regions and borders in skin lesions for dermoscopic images is introduced.

We systematically investigated the impact of three different permutation test approaches for over-representation analysis to detect false positive pathway candidates and evaluate them on genome-wide association data of Dilated Cardiomyopathy (DCM) and Ulcerative Colitis (UC).

Similarly, one may use such a visual representation to better detect differences in clinical cohorts, or to longitudinally track connectivity changes over time in individual brains.

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