Sentence examples for threshold for recognition from inspiring English sources

The fourth Wildrose MLA, Boutilier took the party over the threshold for recognition as an official party in the Assembly.

When this group engaged in infighting, leading to the withdrawal of some members, its size fell below the threshold for recognition causing its collapse.

Once the units had been transferred, their members had to decide whether they would re-enlist in the Territorial Force; the threshold for recognition was given as 30% of the establishment strength.

Emotion dysregulation in BPD is hypothesized to consist of greater emotional sensitivity (low threshold for recognition of or response to emotional stimuli) (e.g., [ 40]), greater emotional reactivity (increased amygdala activity) [ 41, 42], and a slower return to baseline arousal ([ 43]; for an overview see [ 44]).

The practical threshold for the recognition of a positive candidate was investigated with this pair of uricases.

The threshold for the recognition of an occlusal cant was suggested to be 4° in a 2D frontal plane study [13, 14].

In a blog post, Dr. Matt Wood of AWS said, The default confidence threshold for facial recognition APIs in Rekognition is 80%, which is good for a broad set of general use cases (such as identifying celebrities on social media or family members who look alike in photos apps), but it's not the right setting for public safety use cases.

Moreover, most differentiation events fall into four temporal periods, which allow a hierarchical ranking as proposed by Goodman et al. [ 40], though the threshold for the recognition of a certain taxonomic unit whether genus, species, or subspecies remains disputed.

The thresholds 0.78/0.936 for recognition methods oPWM/SiteGA were chosen using the positive set, such as upstream regions of 32% of genes contain at least one potential AuxRE.

It can be seen the RGB and HSV thresholds could surprisingly detect skin region of the subject, and the silhouette of HSV threshold was sufficient for recognition on the face and palm.

Near the threshold of recognition, different image modes had great impact on recognition accuracy.