LESS 是一个开源的样式语言,受到 Sass 的影响。严格来说,LESS 是一个嵌套的元语言,符合语法规范的 CSS 语句也是符合规范的 Less 代码。

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论文摘要: Multi-paragraph推理对于open-domain问答(OpenQA)是必不可少的,尽管在当前的OpenQA系统中受到的关注较少。在这项工作中,我们提出一个知识增强图神经网络(KGNN),使用实体对多个段落进行推理。为了显式地捕捉到实体的关系,KGNN利用关系事实知识图谱构建实体图谱。实验结果表明,与HotpotQA数据集上的基线方法相比,KGNN在分散注意力和完整的wiki设置方面都有更好的表现。我们进一步的分析表明,KGNN在检索更多的段落方面是有效和具有鲁棒性的。

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Many road accidents are caused by drowsiness of the driver. While there are methods to detect closed eyes, it is a non-trivial task to detect the gradual process of a driver becoming drowsy. We consider a simple real-time detection system for drowsiness merely based on the eye blinking rate derived from the eye aspect ratio. For the eye detection we use HOG and a linear SVM. If the speed of the eye blinking drops below some empirically determined threshold, the system triggers an alarm, hence preventing the driver from falling into microsleep. In this paper, we extensively evaluate the minimal requirements for the proposed system. We find that this system works well if the face is directed to the camera, but it becomes less reliable once the head is tilted significantly. The results of our evaluations provide the foundation for further developments of our drowsiness detection system.

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