一本关于支持矢量机的英文入门书籍。
Tutorial on Support Vector Machines for Pattern Recognition.
在线性规划支撑矢量机中，对其VC维数界作了适当的放宽。
In linear programming linear SVMs, the bound of the VC dimension is loosened properly.
在基于支撑矢量机的分类器学习算法中，预先选择支撑矢量是非常重要的。
For the support vector machine based learning algorithm of classifier, it is very importance for the support vector to be pre-selected.
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。
Several SVM classifiers are used to make a multi-classes classifier for modulation identification.
文章提出一种新的基于支撑矢量机的非活动天体与活动天体的自动分类方法。
This paper proposes a new automatic classification method based on support vector machines to separate non-active objects from active objects via their spectra.
研究了支撑矢量机的分类机理，并利用支撑矢量机对雷达目标一维像进行了识别。
The classification mechanism of support vector machine (SVM) was analyzed in detail. The one dimensional image of radar target was recognized by SVM.
支撑矢量机是一种能在训练样本数很少的情况下达到很好分类推广能力的学习算法。
The support vector machine is a learning algorithm, which has a good classification ability for limited training samples.
提出了一种应用小波变换提取分类特征的基于支撑矢量机的通信信号调制识别方法。
A new method of modulation identification for communication signals, using wavelet transform to extract characteristics and based on support vector machines (SVM), is proposed.
在分类器设计方面，通过引入支持矢量机，进一步提高低信噪比下的汉语声调识别率。
On the design of classifier, by introducing support vector machine, Chinese tone recognition rate is improved under low signal noise rate conditions.
另外，支撑矢量机多用户检测器的非线性特性可以比线性检测器更好地逼近最优检测器。
The nonlinear support vector machine multiuser detector can approach the optimum multiuser detector in a better way than the other linear detectors.
采用支持矢量机的方法先对大量的图像进行训练，然后对连续的视频帧进行了语义探测。
The method of SVM is used to train a large amount of pictures to obtain the model which is used to detect the semantic of consecutive video frames.
为了提高车牌上的字符识别准确率，提出一种结合支撑矢量机(SVM)和小波的字符识别方法。
To improve the recognition accuracy of the characters on car license plate, a novel method based on support vector machine (SVM) and wavelet decomposition was proposed.
支撑矢量机是一种普适的算法，已经广泛地用于模式识别、回归估计、函数逼近、密度估计等方面。
SVM is a kind of general learning algorithms, which has been widely used in pattern recognition, regression estimation, function approximation, density estimation, etc.
支撑矢量机是根据统计学习理论提出的一种新的学习方法，即使用核函数在高维空间里进行有效的计算。
The support vector machine is a novel type of learning technique, based on statistical learning theory, which USES Mercer kernels for efficiently performing computations in high dimensional Spaces.
在保证支撑矢量机的分类能力情况下，该方法大大地减少了训练样本的个数，同时提高了支撑矢量机的训练速度。
This method greatly reduces the number of training examples and so improves the training speed of SVM, without the loss in generalization performance.
本文提出了基于加权最小二乘支撑矢量机(WLS - SVM)学习算法的一种DCSK混沌通信系统降噪方法。
This paper proposes a noise reduction method to DCSK communications system using weighted least square support vector machine (WLS-SVM).
支撑矢量机（SVM）是在VC理论的基础上根据结构风险最小归纳原理建立的一种比神经网络更强有力的学习机。
Support Vector Machine (SVM) is a kind of learning machines constructed according to SRM principle on the basis of VC theory, which is much more powerful man the neural networks.
文中将支撑矢量机的概念引入雷达的目标一维像识别中，对其机理作了详细地分析，建立了相应的支撑矢量机分类器算法。
A novel SVM for the radar target recognition is proposed in this paper, the mechanism of SVM is particularly analyzed and the classification algorithm is established.
借鉴心理学中有关视觉注意的研究成果，提出了一种采用符合人类视觉注意的特征，并利用支持矢量机进行视频镜头边界检测的算法。
This paper proposes an algorithm of shot boundary detection, which employs Support Vector Machine (SVM) to classify visual attention features based on the research results of psychology.
在分析两类飞机时域、频域特性的基础上给出了两种特征提取方法，利用支持矢量机进行了识别实验，结果表明所提出的方法是可行的。
After analyzing their properties in time and frequency domain, we propose two feature-extraction methods and performed some classification experiments based on support vector machine. Ther...
文中最后对人工和实际样本进行了实验，结果说明了线性规划支撑矢量机在推广能力上较好地逼近了原支撑矢量机，而在计算复杂度上明显低于原支撑矢量机。
Simulation results for both artificial and real data show the generalization performance of our method is a good approximation of SVMs and the computation complexity is largely reduced by our method.
异步电功机的磁通检测和观测是矢量控制系统中的关键问题。
The measurement and observation of flux in induction motor is a key problem in vector control system.
实验结果验证了定子磁链定向的矢量控制策略既能保证定子输出频率恒定，又能较好地跟踪风力机的最大功率输出。
The stator flux-oriented vector controlling strategies of keeping stator frequency constant and capturing the maximum wind power are verified by experiment results.
针对边缘匹配矢量量化图像编码方法存在的出轨现象，提出一种引入支持向量机的方法。
To tackle the derailment phenomenon consisting in side-match vector quantization image coding technology, we introduced support vector machine.
矢量喷管是先进战斗机的特征，本文讨论了实现推力矢量存在的技术难点。
As thrust vectoring nozzle is the feature of advanced fighters, the difficulties in implementing thrust vectoring are summarized.
文中使用小波变换来对人脸的高维图像矢量进行压缩，并设计了一个支持向量机分类器系统来识别人脸。
This article utilizes the wavelet transform to compress the high dimensional face image vectors, then devises an SVM classify system to recognition the face.
高压大功率同步机采用全数字化矢量控制方法控制的实现及其应用。
Implementation and application of high voltage large capacity synchronous machine with digital vector control.
高压大功率同步机采用全数字化矢量控制方法控制的实现及其应用。
Implementation and application of high voltage large capacity synchronous machine with digital vector control.
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