Sentence examples for prior techniques from inspiring English sources

It can therefore be expected to extend the applicability of quantitative discrete-event methods to biologically important systems and scales inaccessible to prior techniques.

Experimental results establish the superior performance of the proposed approach when compared to prior techniques reported in the literature or used in the field.

The technique robustly identifies optimal weighted random sampling schemes and provides improved reconstruction fidelity for multiple 1D and 2D images, when compared to prior techniques for sampling optimization given knowledge of the image geometry.

Kerberos offers two major innovative features compared to prior techniques: (a) it allows simultaneous rotation and tilting of the droplet supporting plate (these mechanisms have been employed separately in the past) and (b) three Wi-Fi cameras (viewing the droplet from X Y Z directions) follow the rotation/tilting motion.

Two important distinctions exist between the VFM-based approach described herein and other prior techniques.

This approach, and how it is an improvement over prior techniques, has been well described (Sand et al. 2008).

The shape prior technique requires the choice of kernel function, which is application dependent.

The proposed prior technique does not require training samples that are expert delineated; rather they are built from the current active contour control points.

Concerning the prior technique where the same growth plate form can be used for the fabrication of the device, the bottom-up fabrication techniques are an ideal option instead of the top-down in terms of size, controllability, and reliability.

These lower-bounds are used as metrics of quality for the mapping solution, since they show how much larger the mapping windows are versus the minimum storage requirements: no prior technique provides such metrics of quality for their mapping solutions.

This differs from the prior technique in that statistical comparisons are made on the basis of randomly assembled groups of genes that mirror the number of genes within each functional category in the community data set rather than sampling a fixed number of genes randomly and relying on chance to capture genes from a functional category of interest.