搜索资源列表
pusu
- 朴素贝叶斯法是基于贝叶斯定理与特征条件独立假设的分类方法-Naive Bayesian method is a method of Bayesian classification and characteristics of conditional independence assumptions based
test
- 基于Hog特征和SVM分类器进行人检测(opencv自带训练分类器)-Based on Hog and SVM classifier is used to detect the people
Fire-detection-multiple-features
- 文章对比分析了火焰不同的形状结构特征，及其特征组合对火焰检测有效性的影响，提出了一种融合圆形度、矩形度和重心高度系数的火焰检测算法，然后将融合后的火焰特征输入支持向量机(SVM)中进行分类- Based on fusion of these flame features，the support vector machine (SVM) is used for classi- fication． Experimental results on the fire videos at Bilken
shengaobeyesi
- 仅身高作为特征时的Bayes分类器（以身高为数据作为特征）-The Bayes classifier, which is used as the data of height, is used as the feature of the feature.
1phog
- 学习层次加权再金字塔特征提取与分类，主要实现直方图特征提取与金字塔多层特征提取-learn the level weights when merging all the pyramid levels
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-algorithm
- 支持向量机的线性以及非线性算法，用于实现特征的分类-linear and nonlinear algorithm for SVM, used for feature classification
piotr_toolbox
- matlab下计算机视觉相关算法，包括分类聚类，特征提取，检测算法等。-computer vision algorithm toolbox at matlab, including classifier and cluster, feature extractor, detector.
InfoRetri
- 基于朴素贝叶斯的文本分类，包含去停用词，分词，特征提取，分类等-Text classification, based libsvm, included to stop words, segmentation, feature extraction and classification
GLCM_Features1
- 灰度共生矩阵提取纹理特征量的程序，能够提取四种主要的特征量包括 能量 熵 对比度 相关性 以及他们的标准差 可以作为输入向量来识别分类图像-detect the features of texture based on GLCM
matlab
- 包含数据，可以直接运行。采用LBP特征进行行人和非行人图像的分类，分类方法是LDA。-It contains data that can be run directly. Use LBP features pedestrian and non-pedestrian image classification, classification is LDA.
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
scala-shell-code_09.scala
- 基于spark做的文本分类，有分词、提取TFIFDF关键词特征，贝叶斯分类次，word2vector-Make text classification based spark, partakers word feature extraction TFIFDF keyword, Bayesian classification times, word2vector
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
pattern-recognition
- 模式识别有预处理和特征抽取环节应用于图像处理，资料有两种分类方式knn,suv-Pattern recognition is a preprocessing and feature extraction process was applied to image processing, there are two kinds of data classificationknn,suv
characteristics-of-heart-
- 基于分形理论的心音信号特征分析与分类识别研究-Analysis of characteristics of heart sound signals based on fractal theory and classification recognition research
burgaic
- 基于AR模型参数的BP神经网络模式分类，包括特征提取和神经网络训练-BP neural network model is based on the classification of AR model parameters, including feature extraction and neural network training
fisher_classify
- MATLAB版本的LDA线性分类器,具体包括计算类内离散度矩阵，类间离散度矩阵，以及训练集各类在新坐标轴上的投影。代码原来用于肌电特征的分类，亦可用于其他机器学习案例-the LDA classifier wrote in MATLAB
feature_extraction
- matlab代码 实现提取动作分类用到的肌电信号四种特征： mav（平均绝对值） ssc（斜率变化率） zc（过零率） wl（窗长）-implement in matlab ,to etract features of emg signal: mav,ssc,zc,wl
1
- 讲述了基于人体关节点的步态识别技术。步态识别是指根据人走路的姿势及动力学特征来识别人的身份，包括人体运动目标检测、特征提取和分类识别三个过程。本文在对各种步态识别算法进行了详细研究的基础上，对核心环节暨特征提取过程进行了主要研究，提出了相应的新的改进算法。-Gait recognition is defined to identify the identity of the person as the way peoplewalk and kinetic characteristics.I