Sentence examples for multilevel decomposition of from inspiring English sources

The hierarchical structure of this neural network perfectly describes the multilevel decomposition of each hardware unit.

We have also examined the perspective approaches, using both multilevel decomposition of oil reservoirs, and hierarchical splitting, and parallel computing on supercomputer for developing effective problem-solving procedures.

Wavelet decomposition is used for grid adaptation and interpolation, while a hierarchical finite difference scheme, which takes advantage of wavelet multilevel decomposition, is used for derivative calculations.

Wavelet decomposition is used for grid adaptation and interpolation, while a new O(N) hierarchical finite difference scheme, which takes advantage of wavelet multilevel decomposition, is used for derivative calculations.

Figure 1 Multilevel decomposition (a) an image at three levels of decomposition; (b) tree representation of the decomposition.

The edge-based nature of the features makes them particularly suitable in handling significant illumination variations in the video, while the multilevel decomposition framework makes it possible to adapt the features to the nature of the video frames being considered.

To ensure robustness, we use both edge-based and color-based features under a multilevel decomposition framework.

A new method for the detection of wide band contiguous stripes using the mean curve and multilevel polyphase decomposition of the given sinogram is also proposed here.

Deterministic multilevel decomposition-based design formulations for such systems have been modified to incorporate the presence of uncertainty in both the problem parameters, and in design variables at various levels of a multilevel hierarchical system.

Canuto and Tabacco [29], Härdle et al. [30], Proposition 8.3, and Wojtaszczyk [31], Section 8.1, have investigated (l^{p} -stability for mul^{p} -stabilitysitions.

Multilevel mixed effects models provide a natural decomposition of observed variance into within- and between-subject variance and noise variance.