Sentence examples for separability from from inspiring English sources

For this reason, we cannot calculate the class separability from the high-dimensional datasets.

Ancillary information such as reliability (from the score space) and separability (from the feature space and score space) measures are combined algebraically to find the 'best integration weights', for fusion.

This report describes the successful use of a template-free method in a microemulsion system for the preparation of magnetic hierarchical porous carbon (MHPC) spheres, which possess high adsorption capability for methyl orange (MO) in aqueous solution, easy separability from water by magnetic force after the MO removal, and reusability that allowed MO to be adsorbed several times.

This choice is given by the specificity of archaeological issue, in particular: (i) the subtle features/targets to be identified are partially or totally unknown and characterized by a very small spectral separability from the background, and therefore (ii) the discrimination between archaeological class and substrates likely suffers significant confusion.

The model shows that the tumors can be split into two groups differing significantly with respect to their separability from normal tissues (Figure 3E and Table 2).

Here, we have considered inter-/intra-class distance measure from the feature space and the d-prime separability measure from the matching score space.

In this paper, we propose an efficient integration weight optimization strategy incorporating both the reliability measures from the score space (dispersion measure) and the separability measures from the feature space (inter-/intra-class distance) and score space (d-prime statistic).

We calculate the d-prime separability measure from the matching score matrix of both the modalities.

Here, we have considered inter-/intra-class distance measure from the feature space and the reliability as well as the d-prime separability measure from the matching score space.

The classification could be carried out by fusion of similarity measures from multi-view gait sequences [138], exploiting separability of features from different views [139] and training a linear SVM classifier based on the averaged gait image [140].

Although the "cat paradox" is usually cited in connection with the problem of quantum measurement (Measurement in Quantum Theory) and treated as a paradox separate from EPR, its origin is here as an argument for incompleteness that avoids the twin assumptions of separability and locality.