Search - support vector

[Special Effects] svm_src

Description: Support Vector Machine Classifier(SVM) 基于支持向量基的图像分类方法，程序变得很好，国外网站上下的，是一个完整的工程-Support Vector Machine Classifier (SVM) based on support vector-based image classification methods, procedures have become very good, abroad site from top to bottom, is a complete project
Platform: | Size: 8192 | Author: haoyubao | Hits:

[Wavelet] libsvm-2.88

Description: 支持向量机用于实验数据拟合分类优化,速度快-Support Vector Machines for classification optimization of the experimental data fitting, fast
Platform: | Size: 563200 | Author: zcxchunxiao | Hits:

[Special Effects] SVM_Tracking

Description: support vector tracking,2004 IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE,-support vector tracking, 2004 IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE,
Platform: | Size: 705536 | Author: 孟钢 | Hits:

[Other] svm-lecture

Description: 有关支持向量机的讲座,我看了之后的确受益非浅-Support Vector Machines on the talks, after I read indeed benefited
Platform: | Size: 1498112 | Author: liyan | Hits:

[AI-NN-PR] svmexamples

Description: 支持向量机应用的实例,希望对大家有用!支持向量机应用的实例,希望对大家有用!-Application of support vector machine example, in the hope that useful! Support vector machine Examples of applications, in the hope that useful!
Platform: | Size: 3072 | Author: liyan | Hits:

[AI-NN-PR] svm-EM

Description: SVM(支持向量机）和EM（最大熵）文本分类算法，压缩包中包括了测试文本（环境类和计算机类），词典，停用词表等。-SVM (support vector machine) and EM (maximum entropy) text classification algorithm, compressed package includes test text (environmental and computer), dictionary, thesaurus, such as disabled.
Platform: | Size: 2591744 | Author: frank | Hits:

[Software Engineering] waveletsupportvectormachine

Description: 08和07年IEEE TRANSACTION的关于小波支持向量机的2篇文献.是多尺度方法在模式识别中的经典,请大家共享.-08 and the 2007 IEEE TRANSACTION on wavelet support vector machine literature 2. Is a multi-scale method in the classical pattern recognition, please share.
Platform: | Size: 779264 | Author: 单昊 | Hits:

[matlab] 145

Description: This the good examples for support vector machine-This is the good examples for support vector machine
Platform: | Size: 4096 | Author: sha | Hits:

[Other] SVMbooks

Description: 支持向量机导论（有中英版本），学习SVM的经典书籍。导师叫我看这本书。-An Introduction to Support Vector Machines [has English and Chinese versions], studying classical SVM books. Instructors asked me to look this book.
Platform: | Size: 8720384 | Author: 阿平 | Hits:

[Other] psvm

Description: 神经网络中支撑向量机中psvm的MATLAB源代码程序下载-Neural Networks Support Vector Machine in the MATLAB source code psvm downloads
Platform: | Size: 2048 | Author: 刘兰芳 | Hits:

[Speech/Voice recognition/combine] vectorr

Description: 支持向量机,是一种用于分类的新技术.目前在语音识别中用的比较少.-Support Vector Machine is a new technology for the classification. Currently used in speech recognition is relatively small.
Platform: | Size: 327680 | Author: weidanfang | Hits:

[AI-NN-PR] svdd

Description: 超球面支持向量机，一种构建超球面来进行分类的单类svm -Ultra-spherical support vector machine, a super-spherical to build a single-category classification SVM
Platform: | Size: 236544 | Author: xinyi | Hits:

[Other] SMO-Pascal

Description: 基于SMO方法的支持向量机Pascal代码实现-SMO-based method of support vector machine implementation Pascal code
Platform: | Size: 9216 | Author: 张围 | Hits:

[matlab] SVM_luzhenbo

Description: 支持向量机工具箱，可进行分类，预测等，实现了四种支持向量机工具箱的分类与回归算法，有实例-Support Vector Machine Toolbox, it can conduct classification, prediction and so on, implementation of the four support vector machine toolbox classification and regression algorithm, has examples of
Platform: | Size: 2946048 | Author: 罗洁思 | Hits:

[AI-NN-PR] gyy

Description: 从因子分析的角度出发解决基因表达谱分析问题。为解决独立成分分析方法在求解过程中的不稳定性，提出一种基于选择性独立成分分析的DNA微阵列数据集成分类器。首先对基因表达水平的重构误差进行分析，选择部分重构误差较小的独立成分进行样本重构，然后基于重构后的样本同时训练多个支持向量机基分类器，最后选择部分分类正确率较高的基分类器进行最大投票以得到最终结果。在3个常用测试集上验证了本文设计方法的有效性。-This paper tries to deal with gene expression problem in view of factor analysis. In order to overcome the instability problem caused by performing independent component analysis, a DNA microarray data ensemble classifier based on selective independent component analysis is proposed. The reconstruction error of each gene is analyzed firstly and a part of independent components which contribute relatively small reconstruction errors are selected to reconstruct new samples. After that, several support vector machine base classifiers are trained simultaneously. Finally, the best base classifiers with high correct rates are selected to participate in the ensemble, using the majority voting method. Results on three publicly available microarray datasets show the feasibility and validity of the method proposed in this paper.
Platform: | Size: 1427456 | Author: cumtgyy | Hits:

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