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The experimental results on five benchmark datasets demonstrate that the proposed approach outperforms several state-of-the-art works.
Experimental results on three benchmark datasets demonstrate that our proposed approach outperforms existing skeleton representations in terms of recognition accuracy.
The experiments on benchmark datasets demonstrate that INSVR can avoid the infeasible updating paths as far as possible, and successfully converges to the optimal solution.
Experiments on the most widely used and challenging benchmark datasets demonstrate that our method can obtain better accuracy and robustness in comparison with some previous methods.
Experimental results on benchmark datasets demonstrate that the proposed method achieves an improved performance compared to state-of-the-art features.
Experiments on three benchmark datasets demonstrate that compared with several state-of-the-arts, the proposed method achieves highly competitive numerical results and is more robust to illumination and expression variations.
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Experiments based on benchmark datasets demonstrated that the proposed approach provides a statistically significant improvement in terms of the classification performance compared with state-of-the-art decomposition strategies.
Experimental results on a publicly available benchmark dataset demonstrate that the proposed tracking algorithm performs better than several baseline trackers.
Experimental results based on synthetic dataset and benchmark datasets demonstrate the better performance of our method over other related methods.
Results on some benchmark datasets demonstrate significant improvements of the proposed algorithm compared to other approaches.
Experimental results and comparisons conducted on the Background Models Challenge benchmark dataset demonstrate the improvements achieved by the proposed algorithm, that compares well with the state-of-the-art methods.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com