Then the SAR imagery is classified to low-reflection area, vegetation covered area and built-up area using support vector machine classifier.
然后利用支持向量机对图像进行分类，将SAR图像分为低反射率区域、城市建筑区和植被覆盖区。
According to the features, we finish the vectorization of texts, and then use support vector machine classifier to distinguish texts and filter illegal texts.
根据特征进行文本向量化，再以支持向量机分类器区分文本类型，实现非法文本的过滤。
Now, support vector machine classifier we experienced has been transplanted to remote ECG diagnosis center. The feedback is being waited to improve the application.
目前，我们实验的支持向量机分类方法已经移植到了远程心电诊断中心，将根据反馈不断完善应用效果。
To combine the attribute reduction algorithm and the incremental training algorithm of support vector machine, a support vector machine classifier based on rough set is constructed.
将属性约简算法和支持向量机增量训练算法相结合，构造基于粗糙集数据预处理的支持向量机分类器。
Then a support vector machine classifier is constructed and applied to ECG classification. Comparing with the classification of ECG by eyes, the classification results is much more precise.
然后基于支持向量机算法构造了支持向量机分类器，将其用于心电图分类，取得了较高的准确率。
Support vector machine classifier overcome the shortcoming of the present and commonly used pattern-recognition methods, and has improved the recognition rate effectively.
支持向量机分类器克服了当前常用的模式识别方法的缺点，有效提高了识别率。
Support vector machine classifier overcome the shortcoming of the present and commonly used pattern-recognition methods, and has improved the recognition rate effectively.
支持向量机分类器克服了当前常用的模式识别方法的缺点，有效提高了识别率。
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