English translation for "rough classification"
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- 粗分级
Related Translations:
- Example Sentences:
| 1. | It is pointed out that an applicable computer wi system is human - computer interactive , composed of rough classification by computer and final decision by human experts
指出实用的计算机笔迹鉴别系统是人机结合的、机器粗分类和人工专家最终判决的系统。 | | 2. | 20 this is a very rough classification . obviously , there are further steps , such as line breaking , alignment and justification . they need not be discussed here , as they go beyond localization
20这是一种粗糙的分类。显然，还有更多的步骤，例如断行、对齐。由于它们超出了本地化的范围，所以不在这里讨论。 | | 3. | In this paper preprocessing , feature extraction and selection , and rough classification are performed on then chromosome images . some experiments are made to verify the effectiveness of the methods presented
本文对染色体图像进行了预处理，特征提取与选择和初步分类分析，通过大量的实验证明我们所采用的算法是有效的。 | | 4. | The model made rough classification to the human ears first according to their geometric features , then ica was used to extract the algebra features and support vector machine ( svm ) was for detailed classification , finally the results were achieved , which was in accordance with human natural recognition process
该模型首先根据人耳的几何特征对人耳进行粗分类；然后应用独立分量分析的方法提取代数特征，支持向量机进行细分类，最后给出分类结果。 | | 5. | In this paper , first , the five modules in the system are explained in detail including the input of chinese character , preprocessing , rough classification , fine classification and post - processing . especially as to the neural network classifier , we not only discuss the fundamental principle of bp network , feature extraction , the realization of bp network , the selection of network structure and parameters , but also discuss its drawbacks and its improved solutions
本文首先对系统中汉字输入、预处理、粗分类、细分类和后处理五大模块进行了较详细的说明，特别是对神经网络分类器，不仅讨论了其原理、特征提取、 bp算法实现和网络结构及参数选择，还探讨了bp算法的缺陷问题并提出了改进方法。 | | 6. | According to the successful application to pattern recognition of small category for neural network , in this system , we use a distance classifier based on gross periphery feature for rough classification in order to classify the total chinese character set to some small sets , and then a bp network classifier based on the probability distribution of pixels with elastic meshing is used for fine recognition
在此系统中，我们针对神经网络在小类别模式识别中的成功应用，先采用基于汉字粗外围特征的距离分类器作为粗分类，以将待识汉字集分成若干个小的汉字集合，然后用基于汉字弹性网格像素概率分布特征的bp神经网络分类器作为细分类，以实现汉字识别的目的。 |
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