将CAN总线技术应用于硬件的自动检测，充分利用了待测板的资源优势，保证了检测速度和准确度。
The application of CAN field-bus technology in the automatic detection of hardware takes full advantage of resource of the detested-to-be board and ensures the speed and precision of detection.
将该模型应用于社会网络数据分类任务中，可以充分捕捉数据间的依赖关系，从而有效提高数据分类的准确度。
Applying the model to social network datasets classification can fully capture the dependencies among them, thus effectively improve the accuracy of classification.
这种方法充分利用了人体部位的形状特征和各块之间的位置关系，提高了识别人体部位的准确度。
The relation of the position between all body parts and human body parts' shape characters are utilized, so the accuracy of recognizing human body parts is improved.
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