Sentence examples for auxiliary set from inspiring English sources
Journalists are heard flattering and cajoling Case, in the hope of obtaining juicy information about everything from Clinton's possible drug use to the nature of his sex life... Overwhelmed by the amount of raw material, Brantley called in his friend Gene Lyons, a pro-Clinton columnist for the "Arkansas Democrat Gazette", as an auxiliary set of ears.
We can however reduce the theta error by patterning the pre-etched feature on the auxiliary set as well.
These patterns were fabricated on one side of the wafer and a series of only square windows called auxiliary set on the diametrically opposite sides.
The extension of the approach to restriction and strong prefixing is not trivial and passes through the introduction of an auxiliary set of restricted actions i.e., actions which are only allowed to synchronize.
Then they proposed a projection algorithm as follows: x^{k+1}=P_{Omega}bigl(x^{k}-gammanabla p bigl(x^{k}bigr bigr), where (OmegasubsetRe^{N}) is an auxiliary set, (x^{k}) is the current iterative point.
Before the ILP formulation for the PAG problem is described, some variables and auxiliary sets are introduced.
We will show below that such extension exists, for which we will make use of the following auxiliary sets: Open image in new window.
In this paper, our goal is to learn an optimal linear mapping matrix (textbf {U}in mathbb {R}^{ktimes m}) which project the texture information from auxiliary data set to the target data set.
In this framework, we project the texture feature information in S (a) from the auxiliary data set space to the target data set space.
The main idea of the proposed method is that the texture feature information of auxiliary data set is transferred to the target data set, and then, the classification model is trained by using SVM or KNN classifier.
In our paper, we employ the texture feature information of auxiliary data set to build the similarity matrix for target data set, and then by exploiting the texture information structure of the similarity matrix, the valuable features are mapped to the spectral space and the textural space.
