label area造句

• In the area at the left . if you do not have a pouch , affix the folded label using clear plastic shipping tape over the entire label area
  来获得。如果您没有邮袋，则使用干净的塑料运输胶带将已折叠的标签粘贴在整个标签区域上。
• In the area at the left . if you do not have a pouch , affix the folded label using clear plastic shipping tape over the entire label area
  索取ups标签pak袋及其他项目。若您没有透明塑胶袋，您可使用透明胶纸贴上摺叠的标签，并固定在包裹上。
• This paper elaborates the main idea and some details of the two approaches that include labeling areas , choosing the source node and the target node , searching the neighbor nodes , choosing the evaluation fimction and dealing with the failure
  包括算法的基本思想以及算法实现中的几个关键技术：区域类型的标记、起始节点和目标节点的确定、相邻节点的搜索、估计函数的选择以及失败的处理。
• Now there are two basic target recognition strategies , such as processing from bottom to top , which is called data - driving method , and processing from top to bottom , which is called knowledge - driving method . the former begins with low layer processing for example , general segmentation , label and feature extraction , then judges whether the feature vector extracted from the labeled area is in accordance with the feature vector of the object model . the latter firstly brings forward a hypothesis on probably existed feature , secondly proceeds with purposeful segmentation , label and feature extraction , lastly judges whether the feature vector extracted from the labeled area is in accordance with the feature vector of the object model
  目标识别在工农业生产、国防建设中具有极其重要的地位，目前目标识别的算法常用的有两种，一种是由下而上的数据驱动型策略，即不管目标属于何种类型，一律先对原图像进行一股性的分割、标记和特征抽取等低层次处理，然后将每个带标记的已分割区域的特征矢量与目标模型相匹配；另一种是由上而下的知识驱动型策略，即先对图像中可能存在的特征提出假设，根据假设进行有目的地分割、标记和特征抽取，在此基础上与目标模型进行精确匹配。