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Data on Neural Networks and Learning Systems Reported by Researchers at Singapore University of Technology and Design (Multimodal Mutual Information Maximization: a Novel Approach for Unsupervised Deep Cross-modal Hashing)

机译:数据对神经网络和学习系统新加坡大学的研究人员报道技术和设计(多通道相互的信息最大化:一种新颖的方法无监督跨通道深处散列)

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摘要

By a News Reporter-Staff News Editor at Network Daily News - Data detailed on Networks - Neural Networks and Learning Systems have been presented. According to news reporting out of Singapore, Singapore, by NewsRx editors, research stated, “In this article, we adopt the maximizing mutual information (MI) approach to tackle the problem of unsupervised learning of binary hash codes for efficient cross-modal retrieval. We proposed a novel method, dubbed cross-modal info-max hashing (CMIMH).”
机译:由一个新闻记者在网络新闻编辑每日新闻——数据详细的网络——神经网络和学习系统提出了。新加坡,新加坡,由NewsRx编辑、研究说:“在这篇文章中,我们采用最大化互信息(MI)的方法来解决无监督学习问题的二进制哈希编码效率跨通道检索。提出了一种新颖的方法,称为跨通道info-max散列(CMIMH)。”

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