| 1. | The quality control of classification processing
论图书分类过程的质量保证 |
| 2. | In sorting , file size ; the number of records to be processed by the sort
在分类过程中，文件长度，即由分类程序处理的记录数目。 |
| 3. | Representation of results of particle size analysis - characterization of a classification process
粒度分析结果的表示.分类过程的特征说明 |
| 4. | Representation of results of particle size analysis - part 4 : characterization of a classification process
颗粒度分析结果的叙述.第4部分:分类过程的表征 |
| 5. | Iso 9276 representation of results of particle size analysis - part 4 : characterization of a classification process iso 9276 - 4 : 2001
粒度分析结果的表示.第4部分:分类过程的特性 |
| 6. | In this thesis , the method of similar estimation ( the nearest neighbor ) is applied to classify the feature character
在特征字的分类过程中，采用了相似形度量(最近邻法)的方法。 |
| 7. | It is popularly considered that considering the influence of the prior probability accords with bayes rule and ensures the minimal loss in the classifying progress
一般认为,考虑先验概率符合bayes准则,能够保证分类过程中错分的损失最小。 |
| 8. | Analyze the relations among pattern classification , svm and macroeconomic early warning . points out that early warning can be viewed as a process of pattern classification
分析模式分类、 svm和宏观经济预警的内在联系，指出经济预警可以看作一个模式分类过程。 |
| 9. | A method based on differential operators is presented for treating sophisticated contours . the algorithm of extracting directional contours from segmented images is also discussed . semi - automatic scheme is proposed
我们提出了一种新方法，它利用边界微分算子来尽量在自动分类过程中保留图像特征，还讨论了轮廓线的定向提取技术。 |
| 10. | In image classing process , the speed of the algorithms is an important factor . k - means algorithm , fcm , sofm network , all deal image pixels as the object , which is the main reason of long working time
传统k均值算法、模糊c一均值聚类算法及自组织特征映射神经网络等图像分类方法，在自动分类过程中以像素灰度为分析对象，这是运用这些方法分类运算速度慢的根本原因。 |
