Eclampsia
发表于 2025-3-23 11:33:31
http://reply.papertrans.cn/17/1621/162091/162091_11.png
现任者
发表于 2025-3-23 17:20:03
http://reply.papertrans.cn/17/1621/162091/162091_12.png
Schlemms-Canal
发表于 2025-3-23 18:45:08
http://reply.papertrans.cn/17/1621/162091/162091_13.png
PTCA635
发表于 2025-3-23 23:29:17
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
牵索
发表于 2025-3-24 06:26:05
http://reply.papertrans.cn/17/1621/162091/162091_15.png
Obstreperous
发表于 2025-3-24 10:15:05
http://reply.papertrans.cn/17/1621/162091/162091_16.png
Irksome
发表于 2025-3-24 13:15:50
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.
Occupation
发表于 2025-3-24 15:29:11
http://reply.papertrans.cn/17/1621/162091/162091_18.png
Senescent
发表于 2025-3-24 21:45:13
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.
压倒
发表于 2025-3-25 00:35:13
http://reply.papertrans.cn/17/1621/162091/162091_20.png