Sentence examples similar to finding transformation from inspiring English sources

Some questionnaire item distributions were skewed, and finding transformations for these variables that did not adversely affect normal distributions of other items in the same questionnaire proved difficult.

Although normality of data is desirable for factor analyses, finding transformations for skewed variables, where N/A was set to zero, that did not adversely affect normal distributions of other items in the questionnaire, proved difficult.

After finding transformations of the territory area data that best approximated to normal probability plots, however, the relationships remained the same in terms of direction and significance (square-root MCP: r = 0.293, N = 97, P = 0.004; log INT: r =-0.206 =-0.206, P= 0.124).

IBM is clearly going through an important organizational shift, and finding that transformation a challenge.

In their method for recognition, feature matching consisted of finding affine transformation parameters which relates the query image and its best corresponding enrolled image.

If a miss-calibration is observed, the extrinsic parameters are corrected by finding the transformation which maximizes the overlap between edges in the image and in the point cloud.

Dimension reduction consists of finding a transformation matrix A (Y = A T X) which will reduce the original data space (X) dimensionality in the new (Y) one, considerably lower dimensionality.

Magnetohydrodynamic (MHD) modeling of the Moon-solar wind interaction has a long history, starting with the work of Spreiter et al. (1970), who analytically treated the special case of an interplanetary magnetic field (IMF) aligned with the solar wind flow direction by finding a transformation of the MHD equations into a hydrodynamic problem.

Linear Model: A linear-model approach formulates the problem of the estimation of a spectral reflectance R ̃ from the camera responses C as finding a transformation matrix (or reconstruction matrix) Q that reconstructs the spectrum from the K measurements as follows: R ̃ = Q C. (2).

These models are described briefly below: Linear Model: A linear-model approach formulates the problem of the estimation of a spectral reflectance R ̃ from the camera responses C as finding a transformation matrix (or reconstruction matrix) Q that reconstructs the spectrum from the K measurements as follows: R ̃ = Q C. (2).

The normalisation parameters were obtained using FLIRT FMRIBB's Linear Image Registration Tool) [44] to reslice each individual's anatomical MRI to the same orientation and position as the SAM functional volume and finding the transformation matrix from this functional space into the standard MNI space.