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Initial background estimation in video processing serves as bootstrapping model for moving object detection based on background subtraction.
The nonparametric bootstrapping model in direct (forward) and inverse models are developed and applied to estimate the SST and SH variations.
Confidence intervals were generated by bootstrapping: Model parameters, θ, were estimated by the method of maximum likelihood to a population randomly sampled with replacement from the study population [ 12, 35].
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With virtually no commercial infrastructure for experimental art in place, artists had to create their own marginal, bootstrap model.
Generate state-level alignments on the training data set using a bootstrap model set.
The multi-objective optimization model formulated is the driver and the multi-site, multi-season hybrid matched block bootstrap model (MHMABB) is the simulation engine within this framework.
Widdit is backed by Yossi Vardi and another angel investor, but works on a bootstrap model, where it invests its current income into future developments, the company says. .
The re-sampling (bootstrap) model determined both the mean and range of carbon isotope values for simulated leaf assemblages ranging in size from 10 to over 1000 leaves.
The full steps for growing the DTs and training the DTAMs are as follows: 1. Generate state-level alignments on the training data set using a bootstrap model set. 2.
It's the bootstrap model: I tolerated it and nobody helped me, so why should I help you?
Furthermore, the bootstrap model selection routine gave additional information on model stability.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com