Low-Level Feature Extraction 底层特征提取
low-level feature 低层特征
image low level feature 图像低层次特征
Low-level feature extract 低层特征提取
low-level feature abstract 低层特征提取
low-level feature image cluster 低阶层特征值
low-level visual feature 底层视觉特征
This demonstrates a common feature in APM systems whereby low-level and specific metrics can be traced multiple times to higher-level name Spaces to provide summary-level metrics.
这展示了APM系统中的一个常见的特性，凭此特性可以多次将低级的和特定指标跟踪到更高级的名称空间，提供汇总的指标。
Rating a feature should use a 4-level scheme: "Not started or at risk", "in progress", "on track to succeed, low risk", and "Done."
我们可以使用四级的状态来评定特性的进度：“未启动或风险评估中”，“进行中”，“即将成功，低风险”，以及“完成。”
The thesis presents a semantic vector algorithm, builds up the network of image semantic keywords, and realizes the composite retrieval of the image low-level feature and semantics characteristics.
提出了一种语义向量算法，构建了图像语义关键词网络，实现了图像底层视觉特征和语义的复合索引。
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