Sentence examples for kind of normalization from inspiring English sources
But in the rush to be radically empathetic, and reckon with another's disaffection, a different kind of normalization occurs: We validate an identity politics that is often rooted in denying other people's right to the same.
"These children are incredibly grateful for this kind of normalization, for being shown doing the same kinds of things all kids are doing," said Mrs. Kingsley, who still writes for the television series.
In the logistic regression classifier is common to implement some kind of normalization of variables through transformations.
Again, note that this kind of normalization ignores possible spectral variations in the transmission/extinction of the analyzer, and therefore high quality polarizers must be employed.
(1 Applying this kind of normalization the score will be low as the number of matches between two images is always too much lower than the number of descriptors.
On the other hand, the measurement of perceptual voice quality differences has been achieved by performing a kind of normalization or noise level estimation to quantify the difference with respect to a reference [24, 25].
Image-based theories generally propose some kind of normalization mechanism by which the viewed image is brought into correspondence with object information stored in memory [e.g.], [9,21], which may not be able to be completed during brief presentations.
As the VLAD vector could adopt different kinds of normalization stages [8, 26, 27] to deal with the visual burstiness problem and further improve the retrieval performance, we adopt a similar method for the SDE vector before its fusion with the VLAD vector, which is called difference normalization [31]: {E}_i={left|exp left({E}_iright)right|}^{varepsilon }.
To deal with this problem, various kinds of normalization have been proposed to penalize overly diverse sites [ 34].
In addition to the four kinds of normalization, filtered according to the criteria discussed in the methods, an additional filtering criterion was applied for a duplicate subset of the linear and lowess normalizations, where a spot had to scored as present in at least 40% of the slides to be included.
The traditional way of doing this would be to carry out some kind of ad hoc normalization for the count data and then fit the model responses to the normalized data using for example least squares or maximum likelihood methods.
