Sentence examples for insignificant features from inspiring English sources

In some areas, SIFT produces a lot of insignificant features.

This study presents a novel method to investigate and map the residual fouling on industrial ultrafiltration membranes that averages out insignificant features while enhancing the important/principal ones.

The first step utilizes a de-noising technique based on wavelet transform (WT) and the statistical Kolmogorov Smirnov (KS) test to remove noise and insignificant features of the images.

selection of half of a normalized face image and application of LBP to this half-image in order to generate a feature vector containing only uniform patterns; usage of the Adaboost method for the "gender" attribute to exclude insignificant features from the image feature vector (the sum of weight coefficients of the boosted features is equal to 0.95).

To determine whether these features are sufficient to model CpG methylation, we created a feature reduced model (FRM) without insignificant features.

Further studies should extend this work to consider the insignificant features directly associated with significant features, but not influential in DNA methylation.

Especially in Curious' micro, bite-size format, and with the "resume" function, a seemingly insignificant feature, but glaringly apparent when it's missing (see Coursera's new app).

His campaign has been running advertisements in Florida for several weeks and has run a robust absentee voting operation -- a not insignificant feature considering the high number of absentee and early voters in the state.

Whereas there may be good consequentialist reasons for acting as though we have special obligations, as we have seen, the consequentialist (and any other defender of the distributive objection) will insist that a commitment to genuinely special obligations gives weight to morally insignificant contingent features of persons.

We applied our method to each simulated dataset, with insignificant supporting features removed by permutations, except for x = 0%, and we called significant peaks at 10% FDR level.

This added dimension of feature feature correlation provides valuable insight into recognizing experimental subpopulations and relevant biomolecules, as well as allowing for the removal of biologically insignificant background features.