In subtle expression synthesis, the robustness of this model is shown when forecasting ERIP.
在合成细微表情中,显示出该模型在预测ERIP 中的鲁棒性。
参考来源 - 基于FAP的细微表情合成·2,447,543篇论文数据，部分数据来源于NoteExpress
因此提出了基于混合特征和分类树的细微表情识别方法。
A method of subtle expression recognition based on hybrid features and classifier tree is presented in this paper.
还有一种表情我们叫做细微表情，它不是简短型的，而是非常微小，几乎无法察觉。
There are also what we call subtle expressions - not brief, but very small, almost imperceptible.
靠着正确解读微表情与细微表情，埃克曼估计揭穿谎言的可能性“将达到70%或者更高”。
Just read microexpressions and subtle expressions correctly, however, and Ekman reckons your accuracy in detecting an attempt at deception "will increase from chance to 70% or better".
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