SVM是什么意思?SVM怎么发音?SVM的解释和用法

小编由分享时间：2025-06-03 20:58:18

1、abbr.scan velocity modulation 扫描速度调制;saturated velocity model 饱和速度模型;shared virtual memory 共享虚拟存储器;system virtual machine 系统虚拟机;

1、Inspired by One-class SVM, Double-Margin SVM is forward to classify two classes by two margins separately.

受一类SVM的启发, 提出的双边界SVM能够分别用两个边界对两类问题分类.

2、This is the SVM procedure, I laboratory used in classification, mainly used in face recognition on.

这个是SVM程序, 我实验室用在分类上, 主要用在人脸识别上.

3、The simulation results indicate that the proposed fuzzy SVM-DTC strategy can improve the system robustness.

仿真结果表明该模糊SVM-DTC方案能够提高系统的鲁棒性.

4、The sample time-staggered space vector modulation ( STS-SVM ) is a novel modulation strategy with high performance.

错时采样空间矢量调制 ( STS-SVM ) 技术是一种高品质的新型调制技术.

5、A new method of text location based on color edge and SVM is presented.

提出了一种将颜色边缘与SVM相结合的文本定位与提取的方法.

6、The method for radar target recognition using local integral bispectrum and SVM is proposed.

提出了基于局部积分双谱与SVM的雷达目标识别方法.

7、And then, precise discrimination was implemented with a SVM multi-class classifier.

再进一步利用SVM多类分类器实现文本区域精确判别.

8、The compensator noise interference rejection capability due to the good features of LS-SVM.

充分利用LS—SVM的优点,使辨识的补偿器具有更好的抗干扰能力.

9、And SVM classifier is used to detect faces in the detecting.

检测阶段用训练好的SVM分类器检测图像中的人脸.

10、Then we use SVM to train these attributes and estimate available bandwidth.

然后我们使用SVM训练这些属性,并且估计可用频宽.

11、Experimental results show that the SVM-based method is feasible in X-ray abnormality judgmentgood classification ability.

实验结果表明,SVM用于医学 X 光片异常筛查可行且有效、识别率高.

12、The target position information was acquired by the SVM estimation output and the weight vector.

利用此权向量和SVM输出估计,可以得到目标位置信息.

13、The multi-class SVM has recently been extensively applied in the field of pattern recognition.

目前SVM多类分类方法在模式识别领域得到了广泛使用.

14、A SVM based regression model with accurate number input and interval number output.

基于SVM的精确数输入、区间数输出的回归分析建模方法.

15、This paper proposes one parallel implementation of SMO training SVM.

该文提出了SMO的一种并行实现方法,验证了该算法的有效性.

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