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The enhancement of the development process comes in the form of the boosting mechanism applied to the generic model.
Numeric experiments help quantify the performance of the boosted granular models and gain a detailed view at the efficiency of the boosting strategy vis-à-vis different design scenarios.
We argue that the context information about a face can be advantageously used in the deeper nodes of the boosting process when the features derived from the central region of the face do not provide any further benefit.
Using the software MATLAB/Simulink for simulation, the motion characteristics of the piston, the variations of the pressure of the boosting chambers and the driving chambers, the characteristics of the output flow of the boosters were obtained.
However, it can be empirically observed that, in the deeper nodes of the boosting process, the non-face examples collected by bootstrapping are in fact very similar to the face examples, and the error rate of those feature-based weak classifiers is very close to 50%.
From the figure, the effectiveness of the boosting scheme is observed.
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The vertical input range of the boosted signal was then precisely set with the 8-bit digitizer board.
The antibody titers distribution is also in favor of the boosted group as shown in Figure 3.
Currently, only 9 (29%) of the boosted patients have normal B cell function and do not require IG (Table 2).
The addition of the surfactant boosts the yields and accelerates the saccharification kinetics significantly.
One of them is the boosted regression ASM [81].
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com