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Titlebook: Artificial Intelligence and Soft Computing; 17th International C Leszek Rutkowski,Rafa? Scherer,Jacek M. Zurada Conference proceedings 2018

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樓主: 與生
21#
發(fā)表于 2025-3-25 06:45:05 | 只看該作者
22#
發(fā)表于 2025-3-25 10:53:29 | 只看該作者
Grundrechnungsarten mit unbestimmten Zahlen linguistic values of the measurable facial segments. The detailed results of experiments on the MUCT and PUT facial databases show which of the common aggregation functions and methods have a significant potential to improve the classification process.
23#
發(fā)表于 2025-3-25 12:51:23 | 只看該作者
https://doi.org/10.1007/978-3-476-05173-8experimental results have shown the high performance of our algorithm in various road scenes. This validation stage has been done with a sequence of simulated images. Results are very promising: more than 90% of marking lines are extracted for less than 12% of false alarm.
24#
發(fā)表于 2025-3-25 19:37:09 | 只看該作者
25#
發(fā)表于 2025-3-25 22:52:15 | 只看該作者
,‘Vander Hulpen des Ghebrecs des Wiins’, Multipliers) that enforces smooth feature vectors by assuming they are represented by a linear combination of smooth basis functions, i.e. B-splines. The numerical experiments performed on several incomplete images show that the proposed method outperforms the other algorithms in terms of the quality of recovered images.
26#
發(fā)表于 2025-3-26 00:22:26 | 只看該作者
27#
發(fā)表于 2025-3-26 04:31:08 | 只看該作者
28#
發(fā)表于 2025-3-26 09:15:27 | 只看該作者
Robust Lane Extraction Using Two-Dimension Declivityexperimental results have shown the high performance of our algorithm in various road scenes. This validation stage has been done with a sequence of simulated images. Results are very promising: more than 90% of marking lines are extracted for less than 12% of false alarm.
29#
發(fā)表于 2025-3-26 14:29:46 | 只看該作者
Symmetry of Hue Distribution in the Imageshe DASMHue measures is thoroughly presented. The results of the DASMHue algorithm based on the threshold binary masks using PH2 dataset shows stronger overestimating results but the total ratio 95.8% of correctly and overestimated cases is better than the ratio which takes into account only shape alone.
30#
發(fā)表于 2025-3-26 20:21:35 | 只看該作者
Image Completion with Smooth Nonnegative Matrix Factorization Multipliers) that enforces smooth feature vectors by assuming they are represented by a linear combination of smooth basis functions, i.e. B-splines. The numerical experiments performed on several incomplete images show that the proposed method outperforms the other algorithms in terms of the quality of recovered images.
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