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TWSVM(2)
- 借助（非线性）孪生支持向量机，来解决二分类问题。-Twin support vector machine to solve the problem of binary classification with the (non-linear).
content_based_image_recongnition
- 基于内容的图像识别-支持向量机方法-8分类-Content-based image recognition- classification of support vector machines-8
Improved-P_SVM-support-vector-machines
- 改进的P_SVM支持向量机与遥感数据分类,对多光谱高光谱分类-Improved P_SVM support vector machines and remote sensing data classification, Classification of multispectral hyperspectral
human-detect-and-track-
- 为了检测红外图像序列中的运动人体，提出了一种基于最大后验概率 （MAP）-马尔可夫随机场（MRF）模型和亮度-距离联合直方图的人体实时检测 方法。该方法首先建立图像序列时空域联合的概率分布模型，采用基于 MAP-MRF 模型的前景检测方法得到可能为人体的感兴趣区域（ROI）。然后在以 ROI 中心点 为圆心的各个圆环域中统计其亮度信息，构建基于亮度-距离联合空间的分类特 征。最后，采用支持向量机（SVM）分类器对候选区域进行分类检测。不同红外 图像序列的实验结果均表明，本
svm-fault-diagnosis
- BP神经网络，支持向量机等用于风机故障诊断，实现故障故障分类，附带数据-BP neural networks, support vector machine for fan fault diagnosis, failure fault classification, with data
NcutClustering
- 支持向量机SVM很好的实现二类分类问题，这里用SVM实现图像分类。-Support vector machine SVM to achieve good class classification SVM realize the image classification.
Tone-Recognition
- 调信息在汉语语音识别中具有非常重要的意义。采用支持向量机对连续汉语连续语音进行声调识别实 验，首先采用基于Teager能量算子和过零率的两级判别策略对连续语音进行浊音段提取，然后建立了适合于支持向 量机分类模型的等维声调特征向量。使用6个二类SVM模型对非特定人汉语普通话的4种声调进行分类识别，与 BP神经网络相比，支持向量杌具有更高的识别率。-Tone is an essential component for word formation in Chinese languages
knnsvm
- 结合KNN(最近邻)算法和SVM(支持向量机)算法的分类器，，原创-KNN+SVM classification recognition algorithms, absolute originality
S3svm
- 半监督支持向量机分类器十折源程序，用于半监督学习-Semi-supervised support vector machine classifier ten fold source for semi-supervised learning
chapter28
- 支持向量机的分类——基于乳腺组织电阻抗特性的乳腺癌诊断-Support vector machine classification- based on the diagnosis of breast tissue electrical impedance characteristics of breast cancer
Improved-ICA-character-recognition
- 该算法一种结合改进的基于独立分量分析（ICA）提取算法和基于多层感知器和单向二叉决策树的多类支持向量机分类方法。-The algorithm is a combination of improved based on independent component analysis (ICA) algorithm and multi-class support vector machine classification method based on binary decision tree of
SVMweijian
- 基于支持向量机算法的分类程序，用于分类、模式识别。-Classification procedure based on support vector machine algorithm for the classification, and pattern recognition.
letter_recog
- 此示例演示如何训练随机树分类推进分类器，或MLP，或Knearest，或Nbayes，或支持向量机-This example demonstrates how classified propulsion classifier training random tree, or the MLP, Knearest, or Nbayes or support vector machines
LSSVMlabv1_8_R2006a_R2009a
- 采用支持向量机对数据进行非线性分类，预测。-predicting and classifying by svm
Gabor_matlab
- matlab图像处理非常重要，Gabor小波提取特征,然后用支持向量机作分类器，可以用于掌纹，人脸，指纹识别-Gabor wavelet feature extraction, and then use the support vector machine classifier, can be used for palmprint, face, fingerprint recognition
Ls-svm
- 支持向量机纹理图像分类，自己写的，非常不错-Support vector machine texture image classification, write your own, very good
svm-GUI
- 能够实现支持向量机的界面操作，支持向量机比神经网络功能强大，能够实现分类和识别-Support vector machine (SVM) to realize the interface operation, support vector machine (SVM) is a powerful than neural network, which can achieve the classification and recognition
HOG
- 这是修改之后的系统，主要用支持向量机SVM和水平方向梯度HOG特征进行特征目标识别分类-This is a system modifications, mainly with support vector machines SVM and horizontal direction gradient the HOG feature characteristic target recognition classification
svmfenlei
- 运用支持向量机进行分类，可以帮助你更好的了解支持向量机如何利用工具箱进行分类-Support vector machines for classification, can help you better understand how to use the Toolbox support vector machine classification
xiangliangji
- 支持向量机的分类识别程序，经过改进的程序，识别效果好-Support vector machine classification and recognition program, improved procedures, identify good