Sentence examples for complexity of the features from inspiring English sources

Disparity estimation is a step which is required for the calculation of all considered features (see Figure 4), and its computational complexity is in the same range as the complexity of the features.

These episodes have shown contradictory views of design features common to different genre of video arising from the complexity of the features employed including real life examples, explanatory formats, and commentary.

Nonetheless, it is important to note that as the complexity of the features increases, also its medical interpretation becomes obscure and cumbersome.

Intuitively the radius parameter controls the complexity of the features, while the distance parameter controls the range of locality for the non-linear interactions.

These errors were likely to derive from the complexity of the features and the requirement to finish the case and move on, resulting in "inattention error" or the associated bias "premature completion of task" (Table 3).

We started conducting a run with a basic feature setting and a BANNER setup, and gradually increased the complexity of the feature space for further runs.

During vein growth in the clefts of the Earth, a variety of geological conditions, such as the local deformation rates and the cleft surface texture, as well as the degree of salt supersaturation and the velocity of the solution, to mention a few, influence the evolution of veins, and thus reveal the high complexity of the featured process.

The core of the system is given by the parallel extension of the mean shift algorithm, which we accelerated by utilizing an abridging technique that can also be used in existing parallel mean shift techniques, such as [17, 18, 30], and a recursive sampling scheme that can narrow the complexity of the feature space, and is applicable in other solutions [18, 19] as well.

Since bi-cliques related by shared features can be almost equivalent in their ability to select the population with the greatest risk, we use a set covering technique[33] to identify the most parsimonious bi-cliques that balance high risk prediction with the complexity of the feature set.

After learning, the complexity of the extracted features increased along the hierarchy, from edge detectors in the first layer to object prototypes in the last layer.

Anchor point distributions are instead dependent upon the complexity of the topographical features, which is independent of any specific sensor measurements.