Sentence examples for a wrong detection from inspiring English sources

The Hough transform-based detector [15] merges the two persons into one object and provides a wrong detection result.

A wrong detection may be due to a false alarm (a curve absent from the ground truth) or to multiple detections of a right curve.

As mentioned before, rotations or distortions of the original image could lead to a wrong detection of the line thickness and to the fail of the entire process.

Without this assignment, there possibly exist X i ≠X j and x i ≠x j such that C i =C j, leading to a wrong detection at the receiver.

This analysis provides an explanation for the wrong detection of strong bottleneck by a program like MSVAR when analyzing data generated according to an island model with constant population sizes, and we could propose an estimation for the time when a false bottleneck it detected eqn (8).

To avoid a tracking of these wrong detection results we have to distinguish between reliable (true objects) and nonreliable objects (uncovered background).

The optimal threshold η opt is able to minimize the probability of wrong detection of a column (tilde {mathbf {a}}_{i}^{(l)}in mathcal {C}^{perp }), denoted as P wd, which corresponds to the sum of the false alarm probability, denoted as P fa, and the probability of not detecting a theoretical dependent column, denoted as P nd.

However, due to imaging noise, mis-alignment between multiple channels and many other imaging problems, there is always a classification error, leading to wrong detection of chromosomal abnormalities.

Firstly, harmonic complexes need to be detected which may involve wrong detection decisions.

In Figure 4, we represent the wrong detection probability P wd as a function of (hat {eta }/M) and p e assuming q=23, (wleft (tilde {mathbf {a}}_{i}^{(l)}right)=20) and M=2,000.

So, an inappropriate value of ω c will lead to the wrong detection, i.e., the ROC area may be small.