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Titlebook: Artificial Intelligence Applications and Innovations; 14th IFIP WG 12.5 In Lazaros Iliadis,Ilias Maglogiannis,Vassilis Plagia Conference pr

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樓主: 你太謙虛
11#
發(fā)表于 2025-3-23 11:33:31 | 只看該作者
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發(fā)表于 2025-3-23 23:29:17 | 只看該作者
An Investigation into the Effects of Multiple Kernel Combinations on Solutions Spaces in Support Vecon traditional base kernels that are used to improve performance on non-linearly separable datasets. Multiple kernels use combinations of those base kernels to develop novel kernel shapes that allow for more diversity in the generated solution spaces. Customising these kernels to the dataset is stil
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發(fā)表于 2025-3-24 06:26:05 | 只看該作者
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發(fā)表于 2025-3-24 13:15:50 | 只看該作者
Symbolic Propagation of Evidence,diagram. A prototype of this approach to support automated recognition of UML and domain concepts from class diagrams and its performance are also discussed in this paper. This paper concludes with a reflection of the strengths and limitations of the proposed approach.
18#
發(fā)表于 2025-3-24 15:29:11 | 只看該作者
19#
發(fā)表于 2025-3-24 21:45:13 | 只看該作者
John M. McCann,John P. Gallagherets, ., the UCF-101 dataset and HMDB-51 dataset. Our method achieves significantly improvements on both datasets compared with existing methods. The results show that our proposed CatNet?is able to focus on the representative frames corresponding to a specific action category, and meanwhile significantly improve the recognition performance.
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發(fā)表于 2025-3-25 00:35:13 | 只看該作者
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