Sentence examples for threshold sum from inspiring English sources

The threshold sum is not insignificant.

The underlying landmark group corresponds to a minimal subset of histogram bins ({c|c in mathcal {C}_{mathcal {H}}subseteq mathcal {C}}) that sum up to a pre-defined threshold (sum _{cin mathcal {C}_{mathcal {H}}}tilde {h}(c) ge tau ).

The effects of environmental manipulations suggest that place cell firing can be modelled as the threshold sum of a population of neurons responding to environmental boundaries.

Automatically and manually flagged spots, spots with the sum of medians (635/532) signal intensity less than or equal to 100, and spots with signal intensity below threshold (sum of median intensities plus one standard deviation above the mean background) were filtered out prior to analysis.

Step 3::  computing the minimum distances between the remaining poles and links of the robot, and comparing with the threshold (the sum of radii of the pole and the robotic link).

Five criteria can be used for error tuning of t with 0 representing a no tuning threshold: 1) sum of error = (FP + FN); 2) balanced error rate BER = (sensitivity + specificity)/2; 3) T11U = 2*TP - FP [ 26]; 4) F1 measure [ 27]; 5) T13U = 20*TP - FP [ 28], where TP is true positive value, FP is false positive value and FN is false negative value.

The program then determined the number of pixels within each region that were above a given threshold and summed this for all images in the stack.

Thus, the threshold flux-sums of type "CE" metabolites allow us to calculate the distribution of the resources between growth and NGAM requirements.

The t-sum statistics for a given SD threshold was a sum of all the significant t values (P < 0.05) across all MD thresholds.

Dotted vertical lines indicate thresholds for summed outputs and do not separate negative predictions and errors from positive ones (see Figure 9 and text).

In analyses of time series data, representing both noise and a signal, or a composition of a baseline endemic level with embedded epidemic curve, the use of moving averages, adaptive thresholds, cumulative sums, etc. aims to separate a noise from a signal by removing underlying trends of a presumably 'known form'.