Sentence examples for background models can be from inspiring English sources

A study of some well-known background models can be found in [8 10] and references therein.

Background models can be provided as frequencies of codons and three (for Homo sapiens, Saccharomyces cerevisiae and Escherichia coli) are distributed with CodonLogo.

This factoring relies on a multi-level modelling scheme where a universal background model can be successively specialized to environment, speaker, and acoustic units.

The photon flux of an unconvolved background model can be integrated by supplying the corresponding Sherpa-assigned background ID as the argument (e.g. "1" or "2" for the first or second background data set automatically located by Sherpa in the corresponding source data set).

The counts of a convolved background model can be summed by supplying the corresponding Sherpa-assigned background ID as the argument (e.g. "1" or "2" for the first or second background data set automatically located by Sherpa in the corresponding source data set).

The amplitudes of an unconvolved background model can be summed by supplying the corresponding Sherpa-assigned background ID as the argument (e.g. "1" or "2" for the first or second background data set automatically located by Sherpa in the corresponding source data set).

Then, the computation and storage loads on background modelling can be significantly reduced.

In the CAVIAR scene LeftBag, static objects are removed that early, that every background model can be tuned not to absorb them without risking the responsiveness of the background model.

The probability value produced by the mine (background) model can be thought of as an estimate of the probability of the observation sequence given that there is a mine (background) present.

When the standard deviation of the high-frequency change is significantly less than the low-frequency change, then the background model can be improved to make the discriminative sensitivity much higher.

Since the regions occupied by the motifs are much smaller than the rest of the sequences, the background model can be properly estimated if m is small.