Sentence examples for acceptable recognition from inspiring English sources

This approach raises feasibility concerns on the amount of training material required to yield an acceptable recognition accuracy.

Experimental results showed that the proposed method has lower error rates than most existing solutions with acceptable recognition frequency rates.

When the images are severely distorted by noise, e.g., σ = 0.20, the NR-Network can also achieve acceptable recognition rates of 0.7062 for the Pearson correlation coefficient, 0.6924 for Euclidean distance, and 0.7096 for Cosine distance.

However, the extraction of SIFT descriptor itself is time-consuming, and then matching a large amount of them or quantizing them into a histogram in a large number of visual words, which are generally needed in BOF model for acceptable recognition of images, also exhausts a lot of time.

We're less than two years away from acceptable voice recognition, says Kannappan.

Extensive experiments demonstrated that using one of the aforementioned methods alone is not sufficient to achieve an acceptable iris recognition performance with EER >17%%.

The ROC curve profiles suggested that acceptable early recognition has been achieved by the three methods (Surflex-dock pAUC2 %: 0.167, ICM pAUC2 %: 0.342, Autodock Vina pAUC2 %: 0.330), which was confirmed in terms of enrichment (Surflex-dock EF2 %: 16.84, ICM EF2 %: 24.06, Autodock Vina EF2 %: 26.47).

It seems that the North Stonington Selectman, Nicholas H. Mullane II, ("Another Round of Questions Aimed at Pequots," May 14) would have found it acceptable if federal recognition of the Mashantucket Indian Tribe had meant only federal aid -- if the tribe, in other words, had remained poor and powerless.

The representation using projection from different directions yielded acceptable accuracy for gait recognition across speeds.

The results were far from acceptable, especially for the recognition of metal, which accounts for 60% of all FOD.

This time is not acceptable in the context recognition applications that we envision, where sensors, computational power, and communication channels may change dynamically and in unpredictable ways depending on the user location, motion, social interaction, and so forth.