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The method also outperforms two widely used stitching programs available on the internet called Hugin and Autostitch.
The proposed method also outperforms the Monte Carlo simulation technique, which cannot be guaranteed to converge for such a small number of points.
It is shown that the sequential method also outperforms the maximum likelihood search-based parameter estimation in cases where the initial positions of the targets is not precisely known.
Regarding the sensitivity, using the EMD method also outperforms in noisy conditions (0.57 compared to 0.46 for SNR=8 dB), while it decreases in noiseless conditions.Conclusions: The proposed test setting designed to analyze the performance guarantees that the actual physiological variability of the cardiac system is reproduced.
On the testing set of MIPS, our method also outperforms others.
However, this method also outperforms the ILI rate threshold method towards the end of a season.
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More importantly, this method also outperformed the in vivo approach.
Pathway based method also outperformed up to 10% over CGSEP for cross-experiment search, however the improvement is not as significant as the cross-platform classification.
Automated methods also outperformed manual tree detection from remotely sensed data, which implies that field data can be more relevant as a reference for validating and correcting derived estimates.
Method-I also outperforms the other three methods on the range and aspect estimation with over 10% - 50% and 20% - 80% improvements.
Compared with the seven centrality methods, ION also outperforms them.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com