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Titlebook: Neural Computing for Advanced Applications; First International Haijun Zhang,Zhao Zhang,Tianyong Hao Conference proceedings 2020 Springer

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樓主: deliberate
41#
發(fā)表于 2025-3-28 17:42:45 | 只看該作者
42#
發(fā)表于 2025-3-28 21:34:24 | 只看該作者
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發(fā)表于 2025-3-29 00:22:31 | 只看該作者
44#
發(fā)表于 2025-3-29 05:28:03 | 只看該作者
45#
發(fā)表于 2025-3-29 10:12:38 | 只看該作者
Tailored Pruning via Rollback Learning, potential. Our implementation adds rollback pruning into generative adversarial learning to compute a soft mask to scale the output of the network structures by defining a new objective function. The soft mask is backtracked and duplicated before and after the batch normalization layer, leading to
46#
發(fā)表于 2025-3-29 14:40:04 | 只看該作者
Coordinative Hyper-heuristic Resource Scheduling in Mobile Cellular Networks,allelly and periodically. Effectiveness of parallel space coordinative searching technique is verified on a set of real-world problems, and the comparison results show that the proposed parallel-spacing coordinative hyper-heuristic algorithm works effectively on most problems.
47#
發(fā)表于 2025-3-29 17:32:18 | 只看該作者
48#
發(fā)表于 2025-3-29 20:42:04 | 只看該作者
Discriminative Subspace Learning for Cross-view Classification with Simultaneous Local and Global Asses is developed for further cross-view alignment. Experimental results on classification tasks with several public datasets prove that our proposed method outperforms other feature learning methods.
49#
發(fā)表于 2025-3-30 00:33:22 | 只看該作者
Learning Unsupervised Video Summarization with Semantic-Consistent Network,propose is to minimize the distance between the summary and original video in the semantic space. Finally, experiments on two benchmark datasets validate the effectiveness of the proposed methods and demonstrate that our method achieves competitive performance.
50#
發(fā)表于 2025-3-30 06:22:13 | 只看該作者
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