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基于多视图关注网络的图文多模态情感分析模型
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作者 丛子涵 张思佳 《现代电子技术》 北大核心 2024年第12期157-164,共8页
针对现有多模态情感分类模型无法全面、准确地捕获复杂的情感信息,以及融合过程中没有充分挖掘两者之间的潜在关联,导致模型结构冗余复杂、计算效率低下的问题,提出一种多视图关注网络(MPF-Net)模型。该模型通过引入多维感知特征捕获机... 针对现有多模态情感分类模型无法全面、准确地捕获复杂的情感信息,以及融合过程中没有充分挖掘两者之间的潜在关联,导致模型结构冗余复杂、计算效率低下的问题,提出一种多视图关注网络(MPF-Net)模型。该模型通过引入多维感知特征捕获机制,全面而精确地获取图像和文本中蕴含的情感信息;其次,采用增强的记忆互动学习机制,使模型能够更加有效地提取和融合单模态特征,并在多轮迭代中不断更新和优化这些特征,从而捕捉到更深层次的情感细节;再构建一个高级深度学习框架,该框架采用生成对抗网络(GAN)与池化技术的深度融合单元,以实现复杂数据特征的高效提取与整合;最后,在保留原有特征信息的基础上进行特征整合,同时通过降维技术降低模型的复杂性,提高计算效率。在公开数据集MVSA-Single和MVSA-Multiple以及自建数据集上通过实验验证所提模型的准确性,结果表明,与多个基线模型对比,所提模型的准确率和F1值均有所提高。 展开更多
关键词 多模态情感分析 对抗学习 多视图网络 生成对抗网络 文本特征提取 特征融合
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Research on the Security of the United Storage Network Based on NAS
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作者 黄建忠 《Journal of Chongqing University》 CAS 2004年第2期48-53,共6页
A multi-user view file system (MUVFS) and a security scheme are developed to improve the security of the united storage network (USN) that integrates a network attached storage (NAS) and a storage area network (SAN). ... A multi-user view file system (MUVFS) and a security scheme are developed to improve the security of the united storage network (USN) that integrates a network attached storage (NAS) and a storage area network (SAN). The MUVFS offers a storage volume view for each authorized user who can access only the data in his own storage volume, the security scheme enables all users to encrypt and decrypt the data of their own storage view at client-side, and the USN server needs only to check the users’ identities and the data’s integrity. Experiments were performed to compare the sequential read, write and read/write rates of NFS+MUVFS+secure_module with those of NFS. The results indicate that the security of the USN is improved greatly with little influence on the system performance when the MUVFS and the security scheme are integrated into it. 展开更多
关键词 multi-user view file system (MUVFS) storage area network (SAN) united storage network (USN) network attached storage (NAS) hashed message authentication code (HMAC)
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