A way of face detection integrating image gray entropy features and SVM classifier is presented.
提出了一种基于支持向量机并综合图像灰度值和灰度熵的人脸检测方法。
Several SVM classifiers are used to make a multi-classes classifier for modulation identification.
使用多个支撑矢量机分类器构成一个多类分类器用于多类信号的调制识别。
SVM classifier is constructed to train the selected features from the target and surrounding background.
最后用SVM分类器用来训练从目标和背景中获得的经过筛选的特征。
Experimental results show that confidence measures and the SVM classifier are effective for utterance verification.
实验结果表明，所提出的置信特征和支持向量机分类器取得了很好的确认效果。
The experiment results show that the iterative SVM classifier achieves better performance than the SVM text classifier.
实验结果表明，迭代s VM算法分类精度高于传统的SVM文本分类算法，具有较好的性能。
Experimental results show that the constructed kernels used with an SVM classifier perform better than the existing sequence-based methods.
实验结果表明使用我们构造的核函数的支持向量机可以取得比现有的基于序列的方法更好的结果。
How to choose the kernel function of the SVM classifier and function's parameters affects system's generalization and operating speed directly.
如何选择核函数的SVM分类器和函数的参数，直接影响了系统的概括和运行速度。
K-neighbor classifier, BP neural network classifier and SVM classifier are used for gait identification respectively, and all of them obtain good identification results.
分别采用K -近邻分类器、BP神经网络分类器和SVM分类器进行步态鉴别实验，均获得了较好的鉴别效果。
The experimental results show that the KDDA features achieve the best recognition performance, and the SVM classifier outperforms the minimum Euclidean distance classifier.
结果表明，SVM分类器的识别性能优于最小欧氏距离分类器，且KDDA特征的识别性能最优。
Experiment results show that good effect of defect recognition is achieved using our SVM classifier, and the request of high real time in automated recognition is satisfied.
实验结果表明，使用训练获得的支持向量机分类器识别裂纹缺陷取得了很好的效果，能够满足自动检测的高实时性要求。
Then we train SVM classifier using visual features such as color, texture, and shape. Experimental results show that this approach can improve precision and recall effectively.
该算法和传统色彩量化算法相比，降低了特征向量的维数，计算量小，受光照强度影响较小，提高了检索的性能。
Finally, the three SVM classifier kernel functions are used to classify BSQ remote sensing image in TM6 band, the experimental data shows their feasibility and higher efficiency.
最后通过对TM 6波段bs Q格式遥感图像进行分类对比证明了SVM分类器核函数用于TM图像分类的可行性及高效性。
The LS-SVM classifier is adopted, which replaces inequality constraints in SVM by equality constraints. So the computation consumption is reduced and the learning performance is improved.
并且采用了最小二乘支持向量机，用等式约束取代了支持向量机中的不等式约束，降低了运算量，提高了学习效率。
A new method of fault classification for mechanical system by means of support vector machine (SVM) is proposed and a multi-class SVM classifier based on binary classification was developed.
提出了一种利用支持向量机(SVM)对机械系统故障进行分类的新方法；以二值分类为基础，开发了基于支持向量机的多值分类器。
Furthermore, combined with the nearest distance classifier, the support vector machine (SVM) is used for classification.
然后再以支持向量机(SVM)和最近邻分类法相结合组成分类器进行分类。
To apply the discriminative classifier in the speaker recognition, the building sequence kernel support vector machine(SVM) becomes the trend in the field.
为了更好地将区分式分类方法应用于说话者确认系统中，构建序列核支持向量机已成为说话人识别领域的研究热点与趋势。
Here is one paper called Ellipsoidal Kernel Machines that tried to estimate the dimension of SVM with the gap tolerate classifier, yet I think it's far from a well-defined relation as you wish to see.
这里是一纸称为椭球形核机器试图与间隙容忍分类器估计支持向量机的尺寸，但我认为这是远远明确的关系，你希望看到的。
Extract 21-dimensional statistical characteristics of histogram characteristic function (HCF) field, training classifier with the support vector machine (SVM).
提取直方图特征函数(HCF)域21维统计矩特征组成特征向量，用支持向量机(SVM)训练分类器。
The twin screw extruder fault diagnosis by multi-fault classifier based on SVM is mainly discussed and the retest proves that this SVM really has preferable ability of classification.
诊断实例表明，基于支持向量机的多故障分类器对设备故障具有很好的分类效果。
We emphases discussed the nearest neighbor classifier and support vector machine (SVM) based on the statistical study theory.
在分类器的设计上，重点讨论了最近邻分类器和基于统计学习理论的支持向量机(SVM)。
Experiment shows, compared with the general SVM, it can reduce the number of examples effectively on the premise of keeping correctness of the classifier.
实验表明，该方法与普通sVM方法相比，在保证sVM分类器性能的前提下，可有效减少学习所需的样本数量。
Most of non-text CCs are filtered out by cascade classifier and the remaining CCs are further verified by SVM. The final outputs are binary images containing texts only.
由于文本连通分量和非文本连通分量在特征上存在差异，大多数非文本会被级联分类器丢弃，而SVM则能在此结果上做进一步的验证，因此最终输出只有文本的二值图像。
This paper presents the application of a recently-developed pattern classifier called support vector machine(SVM) in expressway incident detection.
文章采用一种新的模式识别技术——支持向量机（SVM），来进行高速公路的事件检测。
Human objects recognition classifier is obtained through samples collecting, feature abstract and SVM training.
通过样本采集、特征抽取、支持向量机训练得到最终的人体目标识别分类器。
Two-level-classifier is designed to recognized urinary sediments. The kernel function uses the radial basis function and grid-search method is used to select the parameters of SVM.
在设计时，采用两级SVM分类器级联的方式，核函数采用径向基函数，并且用网格搜索法来选取合适的参数。
Two-level-classifier is designed to recognized urinary sediments. The kernel function uses the radial basis function and grid-search method is used to select the parameters of SVM.
在设计时，采用两级SVM分类器级联的方式，核函数采用径向基函数，并且用网格搜索法来选取合适的参数。
应用推荐