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

机译:关于跨媒体大数据的多模式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:本期特刊侧重于实现高性能多模式信息分析和大规模理解不受控制的环境的学习方法,这也是一个非常具有挑战性的问题。此外,它引起了学术界和工业界的极大关注。我们希望本主题将汇总来自跨媒体数据的多模式信息新进展的顶级作品。该SI的目的是为研究人员和从业人员提供一个论坛,以交流相关领域的思想和进步。

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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  • 正文语种 eng
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