Sentence examples for linear transformations between from inspiring English sources

Linear autoencoders correspond to the special case where only linear transformations between visible and hidden variables are used.

When overlaid on the transformed T1 and T2 maps for other subjects, the ROIs in some cases revealed small displacements relative to the intended structure, due to limitations of linear transformations between brain images.

The suggested correction score S c added according to prevalence was computed using the formula S c  = log(OR) ·  b; here, OR represents the odds ratio between the new population being corrected for and the derivation cohort, calculated as OR = odd s new 0.0238 ; moreover, b is the slope of the linear transformation between log-transformed odds and score (see above).

But, when you have a linear transformation between variables, the determinant of that transformation represents how it scales areas.

By reversing the mapping to obtain a linear transformation between the semantic space and the brain65, BOLD activation patterns were predicted for these novel items.

For the two-dimensional (2D) case, we adopt a linear transformation between the physical and virtual spaces: in which, k1 = b/a, k2 = (c−a)/(c−b), and k3 = (b−a)/(c−b) are constant coefficients under the cylindrical coordinate system.

This last proposition allows considering X as the matrix defining the linear transformation between points and durations.

This adaptation (as illustrated in Figure 3) corresponds to the estimation of a linear transformation between two Gaussians obtained by Figure 3 LIAMAP: Method to estimate a unique linear transformation for all Gaussians of a codebook.

It should be mentioned that one may use Mie theory for simulation of extinction spectra of monodisperse metal and insulator spherical particles, and for extinction spectra of particles with non-spherical shapes T-Matrix simulation (linear transformation between coefficients of scattered and incident fields [19]) is the only exact solution [16, 20, 21, 22, 23].

Matrix A is also the linear transformation between the measurement space and the voxel-based image space.

Furthermore, our ANN architecture using 2 MLPs is potentially able to include more than one dependent variable (in addition to EWL) and operate a non-linear transformation between them.