Description: 在人工智能中模式识别比较新的分类算法,支持向量机.用于特征分类.-A new classify arithmetic of pattern-recognition in artificial intelligence,use support vecotr machine to classify the characteristic Platform: |
Size: 50176 |
Author:rabo |
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Description: 模式识别中人连识别眼镜定位，用的是matlab支持向量机开发的-human pattern recognition to identify even glasses positioning, using the Matlab SVM Development Platform: |
Size: 451584 |
Author:网小强 |
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Description: Interior Point Optimizer for SVM Pattern Recognition的原程序-Interior Point Optimizer for Pattern Recognition SVM's original procedures Platform: |
Size: 45056 |
Author:dy |
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Description: SVM用于模式识别
整理别人的代码（原来的是英文）所得：
kernel.m用于内积矩阵的计算
svcplot.m用于绘图
svm168.m是主程序
testlin.m是采用线形内积函数的支持向量机应用的 文件
testrbf.m是采用RBF内积函数的支持向量机应用 的 文件
每个文件中都有说明。
仿真平台matlab7.0, 仿真全部通过
将所有文件拷贝到work目录下（注意不要直接将上层文件夹直接拷贝到work目录下，若那样操作，必须在matlab的file菜单中的set path中设置相应的路径）。
打开matlab，在命令窗口中输入 testlin或testrbf 即可查看结果。
-SVM pattern recognition for collating other people's code (the original is in English) from : kernel.m plot within the matrix for the calculation svcplot.m for graphics is the main svm168.m testlin.m procedure is used linear plot function within the SVM application documents testrbf.m RBF is using plot function within the SVM applications each file documents were described. Matlab7.0 simulation platform, all through the simulation of all the documents copied to the work directory (not directly to the attention of the upper folder directly copied to w contex directory, as if the operation, Matlab in the file menu on the set path corresponding set the path). Open Matlab, in the command window or imported testlin testrbf can see the results. Platform: |
Size: 6144 |
Author:郑军 |
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Description: 这是一篇关于SVM模式识别的硕士论文，应用在织物的检测上，很不错的，希望对大家有用-SVM pattern recognition on the master's thesis applied to the detection of fabric, it is very good. We hope to useful Platform: |
Size: 494592 |
Author:lijianjun |
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Description: svm程序代码，用于模式识别和分类，也可用于图像特征。-svm code for pattern recognition and classification can also be used to image features. Platform: |
Size: 172032 |
Author:chenxi |
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Description: 完整的模式识别库，包括矩阵运算，各种模式识别算法，如K均值、SVM、RVM、NN、LDA等-Complete pattern recognition library, including matrix computation, a variety of pattern recognition algorithms, such as K-means, SVM, RVM, NN, LDA, etc. Platform: |
Size: 1166336 |
Author:mountyang |
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Description: SVM分类器的实现原码,SVM是一类基于统计学习理论的模式识别方法-SVM classifier to achieve the original code, SVM is a kind of statistical learning theory based on the pattern recognition method Platform: |
Size: 86016 |
Author:carrie |
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Description: 统计模式识别、线性或非线性回归以及人工神经网络等方法是数据挖掘的有效工具，支持向量分类（support vector classification，简称SVC）算法是一个很有发展前景的方向。-Statistical pattern recognition, linear or nonlinear regression and artificial neural network approach is an effective tool for data mining, support vector classification (support vector classification, referred to as SVC) algorithm is a promising direction. Platform: |
Size: 10240 |
Author:xs |
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Description: 关于支持向量机的Matlab源代码，用于模式识别和非线性问题的程序。对于初学和不想具体了解支持向量机的很有用。-On Support Vector Machines Matlab source code for pattern recognition problems and nonlinear procedures. For beginner and do not want a specific understanding of support vector machine useful. Platform: |
Size: 124928 |
Author:kaku |
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Description: 这是一个很好的支持向量机工具箱，它可用于模式识别，图像识别，文字识别，语音识别和手写体识别等领域。-This is a very good support vector machine toolbox, it can be used for pattern recognition, image recognition, text recognition, speech recognition and handwriting recognition and other fields. Platform: |
Size: 4445184 |
Author:李全林 |
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Description: 模式识别 MATLAB 的工具箱,比较实用,包括SVM,ICA,PCA,NN等等模式识别算法.-Pattern Recognition Toolbox for MATLAB, more practical, including the SVM, ICA, PCA, NN pattern recognition algorithm and so on. Platform: |
Size: 334848 |
Author:吴守泉 |
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Description: 统计模式识别工具箱（Statistical Pattern Recognition Toolbox）包含：
1，Analysis of linear discriminant function
2，Feature extraction: Linear Discriminant Analysis
3，Probability distribution estimation and clustering
4，Support Vector and other Kernel Machines-
This section should give the reader a quick overview of the methods implemented in
STPRtool.
• Analysis of linear discriminant function: Perceptron algorithm and multiclass
modification. Kozinec’s algorithm. Fisher Linear Discriminant. A collection
of known algorithms solving the Generalized Anderson’s Task.
• Feature extraction: Linear Discriminant Analysis. Principal Component Analysis
(PCA). Kernel PCA. Greedy Kernel PCA. Generalized Discriminant Analysis.
• Probability distribution estimation and clustering: Gaussian Mixture
Models. Expectation-Maximization algorithm. Minimax probability estimation.
K-means clustering.
• Support Vector and other Kernel Machines: Sequential Minimal Optimizer
(SMO). Matlab Optimization toolbox based algorithms. Interface to the
SVMlight software. Decomposition approaches to train the Multi-class SVM classifiers.
Multi-class BSVM formulation trained by Kozinec’s algorithm, Mitchell-
Demyanov-Molozenov algorithm Platform: |
Size: 4271104 |
Author:查日东 |
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Description: 主要介绍模式识别中的SVM分类器的功能及应用-Focuses on pattern recognition SVM classifier function and application of Platform: |
Size: 64512 |
Author:小汐 |
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Search - pattern recognition SVM