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.
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.
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...
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.
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.
本文用支持矢量学习机和神经网络两种机器学习方法建立选择性环氧化酶-2抑制剂的活性预测模型，以期为选择性环氧化酶-2抑制剂药物的合成提供先导化合物。
Machine learning methods, including Support Vector Machines and Artificial Neural Network, are applied to the development of the classification models for the selective COX-2 inhibitors in this paper.
本文用支持矢量学习机和神经网络两种机器学习方法建立选择性环氧化酶-2抑制剂的活性预测模型，以期为选择性环氧化酶-2抑制剂药物的合成提供先导化合物。
Machine learning methods, including Support Vector Machines and Artificial Neural Network, are applied to the development of the classification models for the selective COX-2 inhibitors in this paper.
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