Visualization research is one of the critical techniques in the Grid computing. In this paper a visual method is used to implement a distributed parallel computing program which makes the node point's status of th...Visualization research is one of the critical techniques in the Grid computing. In this paper a visual method is used to implement a distributed parallel computing program which makes the node point's status of the parallel system visible during the program's running time. At the end of the paper, the implementation of the visiual algorithm is given.展开更多
社交媒体的普及和信息传播的便捷化使得虚假新闻的传播和影响力不断增加,给社会带来了严重的负面影响。为了应对虚假新闻的干扰,提出了一种基于伪孪生网络的虚假新闻检测方法(Fake news detection method based on Pseudo-Siamese netwo...社交媒体的普及和信息传播的便捷化使得虚假新闻的传播和影响力不断增加,给社会带来了严重的负面影响。为了应对虚假新闻的干扰,提出了一种基于伪孪生网络的虚假新闻检测方法(Fake news detection method based on Pseudo-Siamese network,FNPS)。受计算机视觉领域任务的启发,将虚假新闻的检测视为多模态语义匹配问题,采用双向长短时记忆(Bi-directional long short-term memory,BiLSTM)网络和50层残差网络(50-layer residual nets,ResNet50)分别提取新闻数据的文本特征和图像特征,并将它们从原始空间映射至新的目标空间来衡量文本与图像的语义匹配程度。通过测试微博数据集,FNPS模型可以有效检测跨领域虚假新闻,并优于其他的多模态虚假新闻检测模型。展开更多
文摘Visualization research is one of the critical techniques in the Grid computing. In this paper a visual method is used to implement a distributed parallel computing program which makes the node point's status of the parallel system visible during the program's running time. At the end of the paper, the implementation of the visiual algorithm is given.
文摘社交媒体的普及和信息传播的便捷化使得虚假新闻的传播和影响力不断增加,给社会带来了严重的负面影响。为了应对虚假新闻的干扰,提出了一种基于伪孪生网络的虚假新闻检测方法(Fake news detection method based on Pseudo-Siamese network,FNPS)。受计算机视觉领域任务的启发,将虚假新闻的检测视为多模态语义匹配问题,采用双向长短时记忆(Bi-directional long short-term memory,BiLSTM)网络和50层残差网络(50-layer residual nets,ResNet50)分别提取新闻数据的文本特征和图像特征,并将它们从原始空间映射至新的目标空间来衡量文本与图像的语义匹配程度。通过测试微博数据集,FNPS模型可以有效检测跨领域虚假新闻,并优于其他的多模态虚假新闻检测模型。
