Sentence examples for normal based from inspiring English sources

How many theatergoers will buy tickets to "Normal" based on Ms. Ripley's award is yet to become clear.

Normal based initial decomposing is first performed to recognize plane features.

All populations were found to be normal based on a Shapiro-Wilk test25, except for downcore δ13C of ss and sl, where we used the non-parametric Mann–Whitney Wilcoxon ranksum test26.

Numerically, the men's VO2 max levels declined more during the 45 years of the study, she says, in terms of the percentage of the capacity they lost per decade, than would be considered normal, based on data from nonathletes.

"And in some scenarios I would worry about defining humans down: defining what's normal based on what we can model in virtual environments".

We also compared several learning classifiers including K-Nearest Neighbor Classifier (KNNC), Naïve Bayes Classifier (NBC), Nearest Mean Scaled Classifier (NMSC), uncorrelated normal based quadratic Bayes Classifier recorded as UDC, Support Vector Machines, and a distance metric learning for Large Margin Nearest Neighbor classifier (LMNN) based on Mahanalobis distance.

GETs great than 6 hours, the time at which the nutritional drink was given, were treated as censored in the analysis, and estimates of mean and standard deviation were based on an assumed normal-based model.

The limited results show that the change of void vector-based fabric tensor appears to be affected by the corresponding components of the particle orientation-based fabric tensor and contact normal-based fabric tensor.

Meanwhile, the normal component of the particle orientation-based fabric tensor and the corresponding component of contact normal-based fabric tensor are negatively correlated.

In particular, we show that normal-based features are more effective than color-based ones at similar computational complexity, and that 3D features are more discriminative than ones based on 2D or normals, but at higher computational cost.

Experimental results on the 3D_RMA confirm these findings by obtaining %0.1 misclassification rate in recognition experiments, and %8.06 equal error rate in authentication experiments using surface normal-based features.