Sentence examples for transformation mapping from inspiring English sources

Asymmetric transformation mapping, illustrated in Fig. 1b, transforms the source feature space to align with that of the target (Xt → TXs) or the target to that of the source (Xs → TXt).

A least squares method is used to find the transformation mapping, from the virtual to real environments.

A 2D axisymmetric finite element model of a single pulse is utilized to obtain the heating and cooling histories, and a phase transformation mapping procedure is used to obtain the microstructural evolution.

From these correspondences, we can learn a symmetric transformation mapping to discover a common latent feature space which reduces the task into a standard classification problem.

Fig. 1 a The symmetric transformation mapping (TS and TT) of the source (XS) and target (XT) domains into a common latent feature space.

Ideally, the transformation mapping ( phi ) should be one-to-one correspondence, smooth, differentiable, and symmetric (i.e., independent of the directionality between S and T).

The algebraic transformation maps the computational space one-to-one onto a parameter space.

The elliptic transformation maps the parameter space one-to-one onto the domains or surfaces.

Their answers are used to create "industry transformation maps" designed to guide individuals on where to head.

For star-shaped geometry, we propose an explicit global transformation map which can be easily differentiated and inverted.

Regarding the complexity of the shape, two new approaches are proposed to design the transformation map from the virtual space to the physical space via transformation optics.