Sentence examples for enrollment sampling from inspiring English sources

This finding was not observed in Panel 1 [ 24], potentially because of differences in demographic characteristics, years of service, timing of enrollment, sampling strategy between panels, and the method in which the exposure was measured.

A total of 124 post-enrollment samples from these 16 women as well as the enrollment samples were tested for HHV-8 antibodies by all three assays to monitor seroconversion.

As mentioned in the previous section, the number of enrollment samples directly affects voice-tag accuracy performance in speech recognition.

While numerous approaches to BCSs generate too short keys at unacceptable performance rates, several enrollment samples may be required as well, (e.g., four samples in [55]).

To match signatures, dynamic time warping is applied to x and y-coordinates and shapes of x, y waveforms of a test sample are aligned with the enrollment sample to extract correlation coefficients where low ones indicate a rejection.

Since key-generation schemes tend to reveal worse accuracy compared to key-binding approaches (unless a large number of enrollment samples are applied) these are expected to be highly vulnerable to false acceptance attacks.

An example with N=4 intervals is depicted in Fig. 6 a. LC is not an actual quantization scheme since it requires the enrollment sample to be stored in-the-clear.

Due to the sensitivity of BCSs, more user-cooperation (compared to conventional biometric systems) or multiple enrollment samples [216] are demanded in order to decrease intra-class variation, while sensoring and preprocessing require improvement as well.

The company utilized a concept, which is referred to as FlexKey, where several enrollment samples are applied to select only the most discriminating features in order to extract longer keys.

Operation mode (see Figure 9): In general quantization schemes, which have been applied to physiological as well as behavioral biometric characteristics, process feature vectors out of several enrollment samples and derive appropriate intervals for each feature element (real-valued feature vectors are required).

A maternal sample obtained 3 years after the enrollment sample was available.