Sentence examples for more efficient representation from inspiring English sources

However, latitude for interpretation can also be created by syllabaries when semantic units are broken into smaller parts for more efficient representation.

In another approach, floating control points are used in conjunction with generalized Delauney triangulation for a more efficient representation [17].

Single view plus depth is usually a more efficient representation of a 3D scene than two-channel stereo.

Furthermore, the deep structure of DNNs allows for a more efficient representation of many nonlinear transformations due to many layers of simple nonlinear processing.

The advantage of a DNN over one-hidden-layer NN is that the deep structure of the DNN allows much more efficient representation of many nonlinear transformations/functions [22].

Although the direct methods provide accurate predictions of one- and two-dimensional low Mach number flows, any future extension to more complex flows (gas mixtures, polyatomic gases, three dimensional geometries) is essentially related to the possibility of reducing the memory demand by a more efficient representation of the distribution function in the phase space.

Robustness to noise informs on the efficiency of a representation for a given task: More efficient representations will typically tolerate more noise for a given level of performance (here, 75% accuracy).

An effective visualization module has to perform a problem-specific abstraction of the dataset, leading to a more compact and hence more efficient visual representation.

While unstructured grids allow for a more efficient geometrical representation of complex boundaries, the lattice Boltzmann method is often implemented using regular grids.

· Use these snapshots to obtain a more efficient dynamic representation (reduced order model) via the proper orthogonal decomposition approach.

From the time point when 75% correct performance was achieved (marked as a vertical bar on the black curve), added noise will tend to slowly increase over time to maintain constant performance, reflecting progressively more efficient internal representations.