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深度学习论文:解读历史手稿图像(Decipherment of Historical Manuscript Images)

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nic28 发表于 2018-10-11 09:05:24 | 显示全部楼层 |阅读模式
nic28 2018-10-11 09:05:24 164 0 显示全部楼层
深度学习论文:解读历史手稿图像(Decipherment of Historical Manuscript Images)欧洲图书馆和档案馆充满了现代早期的加密手稿。这些包括军事和外交通信,秘密社团记录,私人信件等。尽管它们受到经典加密算法的限制,但它们的内容对于工作历史学家来说是不可用的。因此,我们解决了将密码手稿图像自动转换为明文的问题。我们开发了用于字符分割,字符图像聚类和聚类序列解密的无监督模型。我们尝试了流水线和关节模型,并给出了多个密码的经验结果。
European libraries and archives are filled with enciphered manuscripts fromthe early modern period.These include military and diplomatic correspondence,records of secret societies, private letters, and so on.Although they areenciphered with classical cryptographic algorithms, their contents areunavailable to working historians.We therefore attack the problem ofautomatically converting cipher manuscript images into plaintext.We developunsupervised models for character segmentation, character-image clustering, anddecipherment of cluster sequences.We experiment with both pipelined and jointmodels, and we give empirical results for multiple ciphers.深度学习论文:解读历史手稿图像(Decipherment of Historical Manuscript Images) DsQS33zzP232s7LP.jpg
URL地址:https://arxiv.org/abs/1810.04297     ----pdf下载地址:https://arxiv.org/pdf/1810.04297    ----深度学习论文:解读历史手稿图像(Decipherment of Historical Manuscript Images)
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