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Special issue on multimodal information learning and analytics on cross-media big data

机译:跨媒体大数据的多峰信息学习和分析的特刊

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摘要

This special issue focuses on learning methods to achieve high performancemultimodal information analysis and understanding underuncontrolledenvironments in large scale, which is also a very challenging problem. Moreover, it attracts much attention from both the academia and theindustry. We hope this topic will aggregate top level works on the new advances in multimodal information from cross-media data. The purposeof this SI is to provide a forum for researchers and practitioners to exchange ideas and progress in related areas.
机译:这个特别问题侧重于学习方法,以实现高度的性能致命信息分析和理解不受影响大规模的环境,这也是一个非常具有挑战性的问题。而且,它吸引了来自学术界的许多关注行业。我们希望这一主题将聚合最高级别的工作来自跨媒体数据的多模式信息的新进步。目的在这个SI中是为研究人员和从业者提供展开相关领域的想法和进步的论坛。

著录项

  • 来源
    《Concurrency and computation: practice and experience》 |2019年第9期|e5144.1-e5144.3|共3页
  • 作者

    Lin Mei; Zhiguo Yan; Jie Shao;

  • 作者单位

    The Third Research Institute of the Ministry of Public Security Shanghai China;

    The Third Research Institute of the Ministry of Public Security Shanghai China;

    The Third Research Institute of the Ministry of Public Security Shanghai China;

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  • 原文格式 PDF
  • 正文语种 eng
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