Sentence examples for by projecting the data from inspiring English sources
The proposed GESR-LR method learns a low-rank weight matrix by projecting the data onto a low-dimensional subspace.
Moreover, we can repeat the procedure after subtracting the variation along the last found component, by projecting the data onto the plane perpendicular to that component.
As a result, the wall contributions can be removed by projecting the data measurement vector at each antenna on the wall orthogonal subspace.
Compressed samples are obtained by projecting the data on random vectors [22], begin{aligned} varvec{y} = [varPhi ] varvec{f}, end{aligned} (1 where ( varvec{y} in mathbb {R}^M) are the compressed samples, (varvec{f} in mathbb {R}^N) is the signal we are sampling and ([varPhi ] in mathbb {R}^{M times N}) is the sampling matrix.
Prior to applying the SVR and GPR algorithm we reduced the dimensionality of the simulated CVs from 1401 (each dimension corresponds to one current value of the CV) to 5, by projecting the data to the subspace spanned by the 5 dominant principal components.
The dimensionality-reduction methods can also facilitate visualization of the ensemble neural activity patterns by projecting the data in a low-dimension encoding subspace.
One of the motivations for using PCA in practice is to reduce the dimension of the original data by projecting the raw data onto a few dominant eigenvectors with large variance (energy).
In this experiment, 2D data were obtained by projecting the 3D data onto a 2D plane.
Kernel CCA offers a solution for overcoming the linearity by first projecting the data into a higher dimensional feature space.
Thus, the original data set can be mapped into a lower dimensional space by projecting the original data on those PCs representing most of the variation [ 36, 37].
Defining the source of the distinctive gene expression patterns was facilitated by projecting the expression data for clonal pancreatic cancer cell lines, primary pancreatic duct cultures, and isolated pancreatic islets alongside the data derived from the previous clustering analysis (Figure 1B).
