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svm
- 支持向量机算法，可很好的用于分类问题，广发用于人脸识别，步态识别中！-Support vector machine algorithm, can be a good issue for classification, GF for face recognition, gait recognition!
svm
- 基于支持向量机的模式识别程序，可以实现2分类-Based on SVM pattern recognition program, you can achieve 2 classification
Partial-discharge-signals-of
- 提出了基于主动学习SVM的局部放电模式识别方法。将主动学习的思想引用到“一对一”多分类SVM分类器,选用基于后验概率的釆样函数对放电样本进行选择,挑选出对分类器最有价值的样本进行训练。 -Puts forward the partial discharge pattern recognition method based on active learning SVM. Will reference to the one to one the ideology of active stud
An-Introduction-to-SVM
- 支持向量机（SVM）是在统计学习理论的基础上发展起来的新一代学习算法，该算法在文本分类、手写识别、图像分类、生物信息学等领域中获得了较好的应用。本书是SVM的权威参考书。-Support Vector Machine (SVM) is a new learning algorithm developed on the basis of statistical learning theory, the algorithm to obtain a better application in the
An-example-of--SVM
- 基于SVM的数据分类预测 -意大利葡萄酒种类识别-SVM-based data classification and prediction - Italian wines Recognition
SVM
- 在机器学习领域，支持向量机SVM(Support Vector Machine）是一个有监督的学习模型，通常用来进行模式识别、分类、以及回归分析。-In the field of machine learning, support vector machine SVM (Support Vector Machine) is a supervised learning model, typically used for pattern recognition, classification, an
svm
- 支持向量机的仿真程序简单案例分析（分类和预测）模式识别-SVM simulation program simple case analysis (classification and prediction) Pattern Recognition
fruitvegtablerecognition_svm
- 基于K-means算法和SVM算法对不同种类的水果蔬菜图像进行分类识别，算法识别率较高。- Classifying a variety of fruits and vegetables images by using K-means algorithm and SVM.
changjingshibiefenlei
- 本文件是图像场景识别并进行分类的程序，已运行成功。 分别利用1 tiny image描述和最近邻分类器 2 bags of sifts描述和最近邻分类器 3bags of sifts描述和线性svm分类器进行场景分类识别的。 在主程序proj3中将FEATURE 改成tiny image，CLASSIFIER 改成nearest neighbor，注释其他FEATURE 和CLASSIFIER的选择就可以实现第一种场景分类识别：tiny image描述和最近邻分类器。以此类
introduction_to_svm
- 基于opencv3.0的SVM分类器源码（可直接运行），在人脸识别类的领域。-Based on the SVM classifier opencv3.0 source (can be run directly), in face recognition field.
non_linear_svms
- 基于opencv3.0的非线性SVM分类器源码（可直接运行），在人脸识别类的领域。-Based on nonlinear SVM classifier opencv3.0 source (can be run directly), in face recognition field.
SVM
- 这个程序主要是用来分类的，属于模式识别范畴。这里的支持向量机主要是用在人脸识别中-This program is mainly used for sorting, belong pattern recognition category. Here SVM is mainly used in face recognition
nn_svm
- 采用NN-SVM算法进行分类识别,有数据包和程序文件。-usingNN-SVM algorithm classification
13FaceRec
- 人脸特征提取与识别matlab程序，主要提取了PCA特征、SVM分类和核方法分类等，代码可以直接使用-Face recognition based on PCA features and Kernel methods, which is used in pattern extraction.
svm
- 在机器学习领域，支持向量机SVM(Support Vector Machine）是一个有监督的学习模型，通常用来进行模式识别、分类、以及回归分析-In the field of machine learning, support vector machine SVM (Support Vector Machine) is a supervised learning model, typically used for pattern recognition, classification, and
facial-expression-recognition
- 主要采用LBP+LPQ队表情特征进行提取，后用SVM的方法对表情进行分类识别-Mainly uses the LBP+LPQ team facial expression features to extract, after using the SVM method to classify the facial expression recognition
test3
- 利用matlab实现hog特征提取与SVM分类方法 用来识别人车与背景-Using matlab nonlinear SVM classification feature extraction and HOG achieve background test vehicles
libsvm-3.17
- SVM工具箱，matlab环境下进行故障特征值分类识别的有效工具-SVM toolbox, effective tool for fault classification were eigenvalues matlab environment
SVM
- 利用libsvm包，实现人工智能识别。在c语言根据livsvm包实现智能分类与识别功能。-Using the libsvm package, the realization of artificial intelligence identification. In the C language according to the livsvm package to achieve intelligent classification and recognition function.
face-detection
- HOG+SVM人脸识别演示程序 使用梯度直方图特征与SVM分类器-face detection demo program using HOG SVM