Sentence examples for projection of the process from inspiring English sources

Since Self-Organizing Maps (SOM) provide compact representation of the data distribution, efficient process monitoring can be performed in the two-dimensional projection of the process variables.

Thus, process x inherits the projection of the process definition y while process x conforms to the dynamic behaviour of its superclass by hiding active nodes new in x.

When applied to a stochastic process on a graph, the aggregation of N ≫ n to n nodes is equivalent to a projection of the original process onto a subspace in which the process components on the aggregated fine-grained nodes are averaged.

In detail, the proposed method derives the inverse projection of the blurring process by using the nonlinear eigenspaces.

This flange protrudes into the orbital fenestra and denotes the lower limit of the ocular cavity with the posterior projection of the descending process of the lacrimal (Figures 2, 8).

Figure 5(c) shows the Volocity projection of the longest process observed in the co-culture in defined medium plus Gas6 (arrowhead) (Supplementary Movie 2 at http://www.asnneuro.org/an/006/an006e135add.htm).htm

For measurement of the triciptal, the compass was placed on the back of the right arm of the adolescent, at the midpoint between the lateral projection of the acromion process and inferior margin of the olecranon.

We construct the Stochastic Calculus of Variations for those elliptic operators; remote past vanishing of projections of the underlying process implies convergence in law; then limit laws lead to the unitarizing measure of the given representation; this general approach is developed in full details on Poincaré disk.

This negotiation involves the projection of process views onto the external layer until achieving a matching that establishes a consensus between the service provisioning and service consumption.

Unlike existing works that utilize pre-constructed sparse transformation, the framelets of the data-driven regularization model can be adaptively learned from the latest projection data in the process of iterative reconstruction to provide optimal sparse approximations for given sinogram.

Using the conservation planning software Marxan and the Indo-west Pacific as a study region, an illustrative approach is developed here that incorporates climate change projections into the process of identifying priority areas for marine conservation.