Reading is one of the most important courses in FL department of China's colleges and universities. It is also amain approach to get information and to learn a language. Reading comprehension is a complex psycholinguistic process as well asa thinking developing process. Based on this recognition, the paper explains how to develop students' ability of thinking in theprocess of improving their reading ability.
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This paper focuses on the research of image recognition based on the hidden Markov model.
本文基于隐马尔可夫模型进行图像识别问题的研究。
In this paper, we introduce an automatic particle recognition approach based on Fourier descriptors from the application point of view.
本文从应用的角度出发，提出了一种基于傅立叶描述符的颗粒形状自动识别方法。
This paper also discusses a note division method based on pitch recognition technology.
论文还讨论了一种基于音高识别技术的音符划分方法。
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