Sentence examples for kinds of normalization from inspiring English sources
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.
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.
"Escaping the KKK" seemed an emblem of that kind of normalization, a humanizing study of wayward folks—just people like you and me who may not have the power to create the havoc that their Klan predecessors once did but who could have sympathizers in the next Administration.
In the logistic regression classifier is common to implement some kind of normalization of variables through transformations.
(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.
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.
Thus, some have argued that we are witnessing an end of Germany's unique path of value change and are seeing some kind of "normalization" (van Deth 2001: p. 30).
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].
This kind of normalization ensures that after applying CRA, the summation of zero-order Baum-Welch statistics of top R Gaussian components is identical to the summation of zero-order Baum-Welch statistics not applying CRA, this summation also equals to the number of total speaker frames.
