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在matlab环境下实现的算法，该算法主要实现SVM分类的算法，svm入门-In the matlab environment to achieve algorithm to achieve SVM classification of the main algorithm, character recognition by SVM to achieve
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KPCA与SVM共同用于人脸识别 SVM提高了分类效果 KPCA是一种借鉴SVM中核函数的一种较好的特征提取方法-KPCA and SVM for face recognition SVM together to improve the classification results from KPCA is a kernel function in SVM a better feature extraction method
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This paper presents the top 10 data mining algorithms identified by the IEEE
International Conference on Data Mining (ICDM) in December 2006: C4.5, k-Means, SVM,
Apriori, EM, PageRank, AdaBoost, kNN, Naive Bayes, and CART. These top 10 algorithms
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总结SVM多分类的文章，从训练时间、分类时间、分类器的个数等等入手进行对比-Summary SVM multi-classification of articles, from the training time, classification time, the number of classifiers, and so begin to compare
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Describe: the basic of svm(classification). Found it helpful
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基于特征选择和svms的图像分类 MI算法-Feature selection and image classification svms
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Image segmentation: classification-neural network, SVM,-Image segmentation: classification-neural network, SVM,...
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非线性svm实现样本点的分类，并输出图像，输入数据为矩阵-Nonlinear svm to achieve a classification of the sample points, and the output image, the input data matrix
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本文是基于SVM分类的智能交通检测系统，希望对大家有帮助。-This article is based on SVM classification intelligent traffic detection system, we hope to help.
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提出了一种基于DCT提取人脸特征技术和支持向量机分类模型的人脸识别方法。利用离
散余弦变换可提取人脸可识别的大部分信息,而支持向量机作为分类器,在处理小样本、高维数等
方面具有独特的优势,且泛化能力很强,无需先验知识。从ORL 人脸库上的实验结果可以看出,
DCT特征提取是很有效的,且SVM的分类性能优于最近邻分类器,同时提高了整个系统的运算速
度。-A face recognition method based on DCT for face feature extractio
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关于脑机接口的文献，基于SVM和小波分析的脑电信号分类方法-Literature on brain-computer interface the EEG classification method based on SVM and Wavelet Analysis
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这是svm分类算法原理，内容简单，适合初学者，值得参考下载！-This is the principle of svm classification algorithm, the content is simple, suitable for beginners, and worth considering download!
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此算法实现了SVM的分类，很实用很强大的程序，可供使用。-This algorithm of SVM classification, it is very powerful and practical procedures for use.
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Classification of protein crystal images using svm wavelets and BloBWorld Texture features.
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这是一个完整的支持向量机分类器程序，比较适合初学者使用-This is a svm classification procedure, which is suitable for beginner
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用于SVM线性分类-SVM linear classification-SVM linear classification
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用于SVM高斯核分类-Gaussian kernel for SVM classification-Gaussian kernel for SVM classification
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基于支持向量机方法的图像分割与目标分类.介绍了支持向量机用于车辆图像分类。以及用于单目标图像的分割和多目标图像的分割，介绍的较为详细。-Method of image segmentation based on support vector machine (SVM) and the target classification. This paper introduces the support vector machine (SVM) is used to vehicle image clas
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ppt for braintumour classification using svm classifier
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SVM图像分类的论文5篇，是最近几年的，有参考价值(5 papers on the classification of SVM images, which are of reference value in recent years.)
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