Sentence examples for derivative framework from inspiring English sources

Within this model, the first- and second-order Gaussian derivative approximations constitute an approximation of a Hilbert pair within the Gaussian derivative framework.

The quasi-quadrature approach in (118) and (119) in combination with a multi-parameter scale space can be seen as an analogue and extension of such a representation within the Gaussian derivative framework.

A novel indole alkaloid containing pyrazinoquinazoline-derivative framework, (14 S -oxoglyantrypine, iS -oxoglyantrypineulture of the mangrove-derisolatedgus Cladosporium sp. PJX-41 exhibited activity against infromnza virus H1N1 witheIcultureue of 85  μM [ 85].

These results encourage models based on a Gaussian-derivative framework, but do not support the idea that human vision uses points of phase alignment to find local, first-order features.

Following publication of the first worked example of the "best fit" method of evidence synthesis for the systematic review of qualitative evidence in this journal, the originators of the method identified a need to specify more fully some aspects of this particular derivative of framework synthesis.

Although the conditions for the existence of such a distribution-independent aggregation have been argued to be demanding, it is fair to say that existing evidence is solely based on Gorman's well-known exact linear aggregation results within a functional-derivative based framework.

This approach built upon a planning framework (derivative of the logical framework) designed to draw out the different planning horizons over which decision-making has to be framed.

With this framework, derivatives of arbitrary order can be implemented with minimal programming effort.

The rates of rearrangement of several derivatives of the framework were measured, and correlated with structural features.

In this field, a novel library of aza-analogs of benzo[c]phenanthroline framework derivatives was designed and prepared.

As a consequence, the gradient of the proximity distance function becomes continuous, which is useful in a derivative-based optimization framework.