搜索资源列表
HaarPclassifiers
- 利用vs2008编写的利用haar特征分类器实现的人脸检测程序-Use vs2008 prepared by the use haar feature classifier implemented face detection process
svm
- 用MATLAB编写的svm源程序，可以实现支持向量机，用于特征分类或提取-Using MATLAB svm prepared by the source, can achieve a support vector machine for classification or feature extraction-MATLAB
matlabxiaSVMizi
- 用MATLAB编写的svm源程序,可以实现支持向量机,用于特征分类或提取，并以转子故障诊断为例直观的例子-Using MATLAB svm prepared by the source, can achieve a support vector machine for classification or feature extraction, and fault diagnosis of the rotor case intuitive example
main
- 用Harr特征分类器进行人脸检测，级联分类器 采用opencv中已经完成的人脸训练模型-Harr features classifier using face detection, cascade classifier has been completed using opencv face training model
OpenCV_SVM_example
- 基于OPENCV实现SVM图像特征分类的小例子。-Implementation of SVM image classification based on a small example of OPENCV.
极限学习机源代码
- 图像的特征提取 图像的分类 实现elm算法
lS
- 基于MATLAB的树叶图像特征分类识别，图像分析处理 分割 特征提取 分类识别等-MATLAB-based leaf image feature classification, image analysis and processing, such as segmentation feature extraction classification
LDA
- 有关线性判别分析LDA的英文文献，可以用来进行特征分类-the papers about LDA for feature classfication
直方图特征提取
- 直方图统计特征提取，用于特征识别，分类识别等方面
opencv2411Face-detection
- VS2013 OpenCV2.4.11人脸检测代码，该代码使用Haar特征分类器对图像中的人脸进行检测并圈出。-VS2013 OpenCV2.4.11 face detection code, the code USES the characteristics of Haar classifier to detect human faces in the images of the circle.
adaboost-and-rbf
- 随机森林算法在图像特征分类回归中的应用，通过结合神经网络进行更好的特征数据处理-Application of random forest algorithm in image classification and regression, better features by combining neural networks data processing
1forest
- 森林算法实现，主要实现多特征分类实现，代码通过实际测试，可以实现分类任务-forest algorithm can be used to implement multi-features classification task
face
- 基于opencv自带的Haar特征分类器的人脸识别，可识别完整的人脸并用圆圈圈出。-Based opencv comes Haar classifier recognition feature, you can identify the full face and a circled.
Project_face_detect
- 使用opencv自带的haar特征分类器，进行人脸检测的程序代码。-A program with opencv inside classifier for face detection
1
- 主要是python环境下用来实现lr逻辑回归模型特征分类的源码-The main source is used to achieve lr logistic regression models feature classification under python environment
facedetect-test
- 基于hog特征与支持向量机的方式，使用opencv自带的haar特征分类器，检测人脸-Adapt to hog feature and support vector machine (SVM) method, based on positive and negative samples opencv training face,
BBO-MLP
- 生物地理算法优化多层感知网络进行特征分类和识别，精度高达97 -Bio geographic algorithm to optimize multi layer perceptron network for feature classification and recognition, the accuracy of up to 97
km
- KM算法，通过对图片的像素点特征分类，实现图片杂质检测等功能-KM algorithm, through the image of the pixel classification to achieve image impurity detection and other functions
55711236
- 用MATLAB编写的svm源程序,可以实现支持向量机,用于特征分类或提取,-MATLAB prepared by the SVM source program, can realize the support vector machine (SVM), used for extracting feature classification or,
amspmbly
- 用MATLAB编写的svm源程序,可以实现支持向量机,用于特征分类或提取,-MATLAB prepared by the SVM source program, can realize the support vector machine (SVM), used for extracting feature classification or,