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SVM支持向量机的工具,非常好用,研究模式识别领域的朋友可以下载下来直接点击svmBench.exe使用。-SVM Support Vector Machine tools, very easy to use, research field of pattern recognition can be downloaded directly to a friend Click svmBench.exe use.
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线性支撑矢量机分类器
对模式识别问题中的线性可分问题进行分类-Linear support vector machine classifier pattern recognition problems in the linear separable classification
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stprtool的使用文档,非常好的模式识别工具包,里面有关于核的以及贝叶斯的相关程序,以及PCA,EM,SVM等方法。 -stprtool the use of the document, very good pattern recognition tool kit, which has nuclear as well as Bayes procedures, as well as PCA, EM, SVM and other methods.
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在ORL或Yale标准人脸数据库上完成模式识别任务。用PCA与基于核的PCA(KPCA)方法完成人脸图像的重构与识别试验.
-Or Yale in the ORL face database, complete the standard pattern recognition tasks. With the PCA and kernel-based PCA (KPCA) method to complete the reconstruction of face image and reco
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本程序是用来实现SVM算法,可以用在 模式识别处理中。-This procedure is used to implement SVM algorithm can be used in pattern recognition processing.
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支持向量机是Cortes和Vapnik于1995年首先提出的,它在解决小样本、非线性及高维模式识别中表现出许多特有的优势,并能够推广应用到函数拟合等其他机器学习问题中-Support vector machine is Cortes and Vapnik in 1995 first proposed, it solve the small sample, nonlinear and high dimensional pattern recognition performance in many
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SVM分类器,关键是对信号进行分类,是模式识别的必备宝典-SVM classifier, the key is to classify the signal is essential for pattern recognition Collection
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MATLAB函数参考手册,查看matlab函数作用以及功能。- SVMLSPex02.m
Two Dimension SVM Problem, Two Class and Separable Situation
Difference with SVMLSPex01.m:
Take the Largrange Function (16)as object function insteads ||W||,
so it need more
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SVM,支持向量机,是近几年来使用的比较多的模式识别算法,本文对这个算法的初学者有很大的帮助。-SVM, support vector machine is used in more recent years, the pattern recognition algorithm, the algorithm of this paper is very helpful for beginners.
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模式识别领域非线性SVM分类器设计原理,代码及过程-Pattern recognition domain nonlinear SVM classifier.experimental design principle, the code and process
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有多个程序,用ANN和SVM进行比较用于模式识别分类的效果-Multiple programs, the comparison for the classification of the pattern recognition results using the ANN and SVM
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图像处理模式识别一种分类算法:svm,对于所提取的图像的特征进行训练学习然后分类。-Image processing, pattern recognition of a classification algorithm: SVM trained to learn the characteristics of the extracted image and then classified.
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基于svm的分类器设计程序,模式识别分类器设计中很有用,值得分享。-Pattern recognition classifier design based on the the the svm classifier design program, useful and worth sharing.
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支持向量机模型用于预测分析效果显著,它在解决小样本、非线性及高维模式识别中表现出许多特有的优势,并能够推广应用到函数拟合等其他机器学习问题中-Support vector machine model is used to predict significant effect in solving small sample, nonlinear and high dimensional pattern recognition exhibit many unique advantages, and
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本程序实现了用SVM进行模式识别分类,里面带有实例 非常有用-This program with SVM pattern recognition classification the inside with examples useful
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LIBSVM是台湾大学林智仁(Lin Chih-Jen)副教授等开发设计的一个简单、易于使用和快速有效的SVM模式识别与回归的软件包,他不但提供了编译好的可在Windows系列系统的执行文件,还提供了源代码,方便改进、修改以及在其它操作系统上应用;该软件还有一个特点,就是对SVM所涉及的参数调节相对比较少,提供了很多的默认参数,利用这些默认参数就可以解决很多问题;并且提供了交互检验(Cross Validation)的功能-The LIBSVM Taiwan University Chih- J
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增量SVM的实例,用于对手势的在线增量学习,有很详细的源码,并实现了SVM的多分类问题,对于模式识别和学习SVM有很大的帮助-Instance of the incremental SVM for gesture online incremental learning, there is a very detailed source, and to achieve a multi-SVM classification, pattern recognition and learning SVM g
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模式识别,线性分类器。经调试可用,希望可以帮到需要的人。-Pattern recognition, linear classifier. After debugging is available, the desire to help people in need.
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用matlab的核函数对钓鱼岛实现分类(模式识别作业)-Kernel function using matlab realize the Diaoyu Islands classification (pattern recognition operations)
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模式识别课程作业,em算法,svm算法,适合初学者,绝对简单例子-Pattern Recognition course work, em algorithm, svm algorithm, suitable for beginners, absolutely simple example
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