我们将融合这些元素组合成一个无缝的成分通过学习如何使用自定义画笔，以提高我们的场景和色彩分级给它的情绪。
We'll blend those elements together into a seamless composition by learning how to enhance our scene using custom brushes and giving it mood with color grading.
然后提出了一种用于数据融合中态势评估部分的分级多层黑板模型；
Then, a multi-level and multi-hierarchical blackboard model is brought forward, which can be applied to situation assessment of data fusion.
提出了一种基于支持向量机的分类分级的数据融合方法，并将此方法应用于机器人手爪抓取状态的判别。
A new classified and graded SVM-based data fusion method is presented and it is applied to obtain the accurate information of the robotic gripper states.
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