Sentence examples for false corresponding from inspiring English sources

Exact(1)

In Islam, religions are classified into three groups: the wholly true, the partially true, and the wholly false, corresponding with Islam, the Peoples of the Book (Jews, Christians, and Zoroastrians), and polytheism.

Similar(59)

The false matches corresponding to wrong disparity values are detected automatically using the confidence-measure technique.

Once the PHAT outputs are organized into a cross-correlation matrix, in which each row represents a PHAT output, a false trajectory corresponding to the peaks may be present along the running time dimension.

A more accurate evaluation of MRI of the lumbar spine uncovered an extensive abdominal aortic false aneurysm, corresponding with the prosthetic stents that had eroded the vertebral bodies of L2 L3.

False positives corresponding to small areas are due to the fact that these kinds of regions are less affected by edge gaps than bigger ones and so they should be confirmed with higher values of τ r.

Of 1,108 test kits used with ≤1 month until expiration, 13 (1.17%) were false positive, corresponding to a sample specificity of 98.83% (exact binomial 95% CI 98.00 % 99.37).

The Sens [Sens = TP/ TP+FN)] is a measure for the percentage of true sites (TP+FN) that are found by the algorithm, with FN = false negatives corresponding to embedded or annotated sites not recovered by the algorithm.

This filtering procedure aims to reduce the number of false positives corresponding either to low quality and common variants.

Simultaneous analysis of Veo and FBP acquisitions led us to observe that Veo acquisition was responsible for three false positives corresponding to intercostal fat or muscles, with eight false negatives (2.7%).

The evaluation is based on varying tolerance value over the range, and the corresponding false acceptance rate (FAR) and false rejection rate (FRR) are then computed.

By setting the threshold for the log odds ratio of the alignments that are falsely predicted at -0.33, only 3 false predictions remains, corresponding to a 94% improvement in false positive rate.

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