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Description: 这是一个用matlab实现的基于支持向量机的人脸识别系统，已经本人调试通过，非常有用。-This is a matlab implementation with support vector machine-based face recognition system has been through my debugging, very useful.
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Size: 14787584 |
Author: soar |
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Description: A implementation of support vector regression in matlab.
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Size: 38912 |
Author: an132_76 |
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Description: 模糊——支持向量机，用于模糊理论与支持向量机结合，用于数据预测-Fuzzy- support vector machines for fuzzy theory and support vector machines for data predict
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Size: 293888 |
Author: rhz |
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Description: 基于Java语言编写的图像分割的代码，使用支持向量机的技术对图像进行分割-Written in Java-based image segmentation code, the use of support vector machine technology for image segmentation
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Size: 975872 |
Author: 马志远 |
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Description: 支持向量机的一些常用的源代码，包括KPCA，KFD等。-Some commonly used support vector machines source code, including KPCA, KFD and so on.
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Size: 564224 |
Author: 游联开 |
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Description: Incremental and decremental support vector machine learning
Matlab code
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Size: 192512 |
Author: esprit |
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Description: 一篇介绍将SVM应用于人脸探测的论文，推荐-Training support vector machine an application to face detection
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Size: 906240 |
Author: 汤圆 |
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Description: 基于SVM的文本无关说话人识别算法研究，本文在最后用Matlab程序实现了一个基于支持向量机的说话人识别系统试验平台。并根据对参试者进行的大量身份测试试验，总结系统的各方面性能和分析存在的问题，为进一步研究提供了方向和宝贵的经验。
-SVM-based text independent speaker recognition algorithm, the paper used in the final implementation of a Matlab program based on support vector machine speaker recognition system test platform. And tested based on the identity of those who carried out a large number of test trials, summed up the system performance and analysis of all aspects of the problems, provide a direction for further research and valuable experience.
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Size: 1841152 |
Author: 王伟 |
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Description: Support vector machines for classification and regression
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Size: 3614720 |
Author: Pino |
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Description: LIBSVM中的SVDD（Support vector data descriiption）算法，直接可用，可通过修改参数gamma和参数C来控制最后剩下的支撑矢量的数量。-The SVDD (Support vector data descriiption) algorithm in LIBSVM, directly available, and parameters by modifying the parameters of gamma C to control the last remaining number of support vectors.
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Size: 451584 |
Author: 黄瑞 |
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Description: 首先用PCA对ORA人脸图像降维，然后用模糊支持向量机对提取的特征向量进行分类，识别率较高。-First using PCA for dimensionality reduction ORA face image, and then use fuzzy support vector machine to classify the extracted feature vectors, the recognition rate is higher.
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Size: 891904 |
Author: 杨力 |
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Description: 本书主要以分类问题（模式识别，判别分析）和回归问题为背景，系统阐述支持向量机和相应的优化算法-This book mainly classification (pattern recognition, discriminant analysis) and regression as the background, the system describes support vector machine and the corresponding optimization
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Size: 7774208 |
Author: 天民 |
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Description: 基于最小二乘支持向量机算法的三维荧光光谱技术的应用-Based on least squares support vector machine algorithm for three-dimensional application of fluorescence spectroscopy
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Size: 410624 |
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Description: 本文介绍了支持向量机的理论与算法研究，介绍了基础理论，核函数以及各种算法等内容-This paper introduced the support vector machine algorithm theory and research, introduced the basic theory, kernel function and a variety of algorithm etc.
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Size: 5604352 |
Author: sungaoyan |
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Description: support vector machine-used for feature classification for matlab10
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Size: 1024 |
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Description: 我用支持向量机写的一个适用拟合程序，这需要数据文件，你可以自己采样数据-Support vector machine to write one for the fitting procedure
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Size: 2048 |
Author: 付凤娜 |
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Description: 支持向量机SVM是一种新的机器学习方法，其基础是统计学理论。模型泛化能力强；进行非线性分类时通过高维空间变换。-Support vector machine SVM is a new machine learning method, its base is statistics theory. Model generalization ability When the nonlinear classification by high dimension space transformation.
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Size: 8192 |
Author: 王进 |
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Description: Learning and Soft Computing Support Vector Machines Vojislav Kecman
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Size: 7373824 |
Author: Parthi |
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Description: 这是基于Matlab的支持向量机工具箱的叙述，里面详细介绍了在matlab开发环境下对支持向量机的说明和使用-This is based on the Matlab support vector machine tool box of the narrative, is introduced in detail in the Matlab environment development of support vector machine instructions and use
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Size: 237568 |
Author: 追风少年 |
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Description: matlab中的标准svm程序源码，用于解决线性的回归问题，不能用于解决非线性，区别于最小二乘支持向量机。-svm program source code, standard Matlab is used to solve linear regression problems, can not be used to solve nonlinear, different from the least squares support vector machine.
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Size: 2048 |
Author: 王欣 |
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