不发音 发表于 2025-3-28 17:26:16
http://reply.papertrans.cn/19/1856/185568/185568_41.png寄生虫 发表于 2025-3-28 22:23:51
http://reply.papertrans.cn/19/1856/185568/185568_42.pngCardioversion 发表于 2025-3-28 23:51:47
http://reply.papertrans.cn/19/1856/185568/185568_43.png猛击 发表于 2025-3-29 05:47:41
Intimate Investments in Drag King Cultureshe proposed correlation filter, we design an efficient ADMM (alternation direction of multipliers) solver. Extensive experimental results on the OTB-2013 dataset show that the proposed approach performs favorably against state-of-the-art trackers.Dawdle 发表于 2025-3-29 07:15:37
The Influence of Online Community Interaction on Individual User Behaviorl media community. We then expound the result from our analysis on data gathered and reach certain conclusions which may be useful to the general public who participate in social media communities and may of value to the regulatory agencies and commercial users of social media as well.AGGER 发表于 2025-3-29 14:17:18
An Optimized Artificial Bee Colony Based Parameter Training Method for Belief Rule-Baseraining was implemented in combination with the constraint conditions of the Belief rule-base. By fitting the multi-peak function and the leakage detection experiment of oil pipelines, the experimental error were compared with the traditional and existing parameter training methods to verify its effectiveness.索赔 发表于 2025-3-29 15:58:12
Search of , Community in Large Graphsnd online search algorithms (SingleQuery and MultiQuery) which support efficient search of . community in optimal time. Extensive experiments on four real-world large networks demonstrate the efficiency and effectiveness of our methods.monogamy 发表于 2025-3-29 23:44:32
http://reply.papertrans.cn/19/1856/185568/185568_48.pngMonotonous 发表于 2025-3-30 03:14:58
http://reply.papertrans.cn/19/1856/185568/185568_49.pngGeneric-Drug 发表于 2025-3-30 05:27:08
Multiple Meta Paths Combined for Vertex Embedding in Heterogeneous Networksctural information in the network. We conduct experiments on two real world datasets. The experimental results demonstrate the efficacy and efficiency of the proposed method in heterogeneous network mining tasks. Compare to the previous method, our model can cover a wider range of semantic information and be more flexible and scalable.