The principles and methods of using support vector machine technique to extract the information of landslide hazard are discussed. Its effectiveness is illustrated with an example.
阐述了基于支持向量机的滑坡灾害信息遥感图像提取的基本原理和方法，并结合实例说明了这种方法的有效性。
In addition, the author chooses the factor on the basis of influential factors analysis, employ the Support Vector Machine for constructing discrimination model of corporate information disclosure.
另外，文章在影响因素分析的基础上，进行变量筛选，利用支持向量机方法建立上市公司信息透明度判别模型。
An algorithm for face detection with fast speed and accurate precision was presented, which integrates facial information and support vector machine.
针对目前人脸检测算法于速度和精度不能兼优的问题，提出了一种基于脸部信息及支持向量机的人脸检测方法。
An information fusing method is introduced: Support Vector Machine (SVM). SVM is used for diagnosing heart disease, and got high diagnostic accuracy and sensitivity.
介绍了一种用于信息融合分析的方法：支持向量机，并将它应用于对心脏病的诊断中，取得了良好的诊断效果。
The rule graph of cloud layer and shadow was generated by the detection of cloud layer and shadow using support vector machine and information of solar Angle.
该方法利用支持向量机以及太阳角度信息，进行云层和阴影的检测，生成云层和阴影的规则图。
The effectiveness of a Support Vector Machine (SVM) depends on the accuracy of the acquired data information.
支持向量机（SVM）的有效性依赖于对数据信息获取的准确性。
Firstly, the learning ability of support vector machine is used to detect cloud in remote sensing image, and combining the information of solar Angle, cloud shadow area is detected.
首先利用支持向量机的学习性能检测影像中的云层，并利用太阳角度信息，判定云阴影区域，得到云层和云阴影的二值图。
A support vector machine (SVM) model is used to correlate the false alarm of BIT to time stress information.
首先采用双支持向量机（SVM）的方法将实时应力信息与机内测试诊断结果相互关联。
A support vector machine (SVM) model is used to correlate the false alarm of BIT to time stress information.
首先采用双支持向量机（SVM）的方法将实时应力信息与机内测试诊断结果相互关联。
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