Sentence examples for a correct face from inspiring English sources
Table 2 Face detection performance for different thresholds Θ Rate Time (ms) 0 96.8 41 2.5 97.5 37 5 97.6 37 7.5 96.0 33 10 88.0 31 Changes of a correct face detection rate and the average consuming time (ms).
A correct face detection is considered when the detected eyes lie within strict face detection criterion such that the acceptable range is scaling error and horizontal and vertical errors [37] from the manually located eye location.
Table 3 Effects of EGM on correct face detection Database With EGM With EGM Without EGM Without EGM rate time rate time BioID 97.6 37 96.1 12 Caltech Faces 97.1 52 96.6 21 Differences of a correct face detection rate and the average consuming time (ms) per one image.
He also carefully studied and took a page from the Thomas playbook in his effort to put on a correct face before the public and the Senate.
We consider why our MS-EGM can get a higher correct face detection rate than the AdaBoost HL cascade.
Correct face localization reached a rate of 97.4% on Yale B which was higher than 96.2% obtained with the anthropometric templates and much better than 60.5% obtained with the Adaboost face detection method.
The contestants still need to be whittled down, catapulted to exotic locations and (if my reading of the end-of-episode promos are correct) face the challenge of cooking for a group of people who can only eat things in a comically dainty way.
Even if subjects picked the wrong face, the hippocampus was still more active when they stared at the correct face.
They presented a robustness algorithm combined of Haar-like feature, Adaboost algorithm and Cascade method to filter and find the correct face region.
In the recall trial, that immediately followed the learning trial, participants had to match the correct face out of the six faces to each word subsequently.
When these highly trained groups of bees were presented with a novel view of the target and distractor face stimuli, only bees in Group 3 were able to recognise the correct face significantly above chance (Fig. 2).
