but allows thresholds to be set on two signal values from light scatter and/or fluorescence channels. Signals below the set threshold are not recorded as events. For absolute counting of cells, an optimal threshold is one that is not so high as to exclude true events (signals from cells), ...
Measure-valued differentiation (MVD) is a relatively new method for computing Monte Carlo sensitivities, relying on a decomposition of the derivative of transition densities of the underlying process into a linear combination of probability measures. In
During the signal-based initial processing30, only relative values of the linear phase and phase scale factors are known. This allows accurate estimation of relative, not absolute, elevation. All elevation estimates share a common, unobservable error that may be calibrated through conventional means ...
The mathematical basis for the method is one of (1) breaking the character contour into segments (between a pair of Skeletal Points), (2) offsetting all coordinates in the segment to bring the first Skeletal Point to align with the grid, and finally, (3) linear scaling of the segment ...
Computations on data published by Edwards and Thurstone showed that when adjustment was made for variability in dispersions calculated by the formula of this paper, a reduction of fifty per cent in mean absolute discrepancy was produced. Since the formula is easy to use and avoids the ...
Current derivation of the new strain-crystallite-size equation The intent of this paper is to report on the progress from post-Scherrer and post-W-H attempt to make the W-H equation accurate and more absolute than before. We do this by scaling the W-H crystallite size (DW-H) against th...
Many researchers have made great efforts in solving the network inference problem. For instance, Han and Diet al.16proposed the state-of-art method i.e., Lasso (Least Absolute Shrinkage and Selection Operator)17, which provides an estimation of a network with limited connectivity and low model...
the astrogeodetic stations, indicating that the use of the interpolated values in the astrogeodetic—gravimetric method employed would be an economical approach of absolute orientation of a nongeocentric system if the gravimetric geoidal heights are available at 1°×1° corners in the area of ...
where 𝜆λ is the regularization coefficient and ∥·∥1·1 denotes the sum of the absolute values of the vector, which is the 𝑙1l1-norm. DK-SVD employs the iterative soft-thresholding algorithm (ISTA) to learn sparse matrix 𝛼̂α^, which can be represented by the following iterat...
[49] introduced a boundary box regression loss function called absolute size (AIoU) to improve the accuracy of object detection. They discussed the limitations of the previous common loss function in the loss of intersection location, then used the AIoU function, which contains a variety of ...