In some papers, background model is obtained with averaging several consecutive frames and Gaussian distribution for background points is considered.
If the threshold is too large, a target point may be mistaken for a background point; while if the threshold is too small, a background point may be mistaken for a target point.
Background points for model training equal 10,000 random points over the distributional range of the genepool in order to avoid overfitting [63], [64].
Analyte peaks were examined, and peak locations and background points were adjusted for optimum recoveries.
We also discovered that Pyron et al. used several localities for the wrong species, and chose background points from a global pool, rather than true absences or the regional background recommended by the developer of MaxEnt [30], [34], [40].
We considered three alternative suites of background conditions, utilizing the exact same background points in each set of models for the three suites.
The following background points are added to those described for Saline earlier.
For background material in fixed point theory and monotone operator theory, we refer the reader to [1 3, 6 16].
This method mainly includes three parts, namely detecting the moving regions approximately by calculating the inter-frames differences of symmetrical frames and counting the static index of each probable moving point; modeling for background by the statistics of brightness information and updating this model combining motion templates; then extracting moving objects and its edges.
Phospho-ERK1/2 was verified by fluorescent immunodetection and quantified densitometrically (≥ 75 cells/time point), corrected for background, in the nuclear area using ImageJ software (version 1.42q; Rasband 2009).
