这是一个机器学习的通用算法库，用.NET编写，实现了SVM,K-MEANS聚类等经典的机器学习算法-This is a general purpose machine learning algorithms library, use. NET prepared to achieve the SVM, K-MEANS clustering and other classic machine learning algorithms

图像处理核心算法文件，适合学习机器视觉的人研究，在运算速度上做了优化-Image processing core algorithm file, suitable for learning machine vision of human studies, in the computing speed to do the optimization

使用opencv的机器学习模块用多层神经网络算法实现对二维特征的分类。并具有一定的可视化处理。只上传了主要代码。不包含工程文件-Opencv using machine learning module for two-dimensional feature free multilayer neural network algorithm. And have some visualization. Upload only the main code. It does not contain a p

基于SVM的烟雾识别系统 运动区域提取使用的是 自适应混合高斯背景建模 特征算法使用的是 HOG+LBP 机器学习方法使用的是 scikit的SVM(Smoke recognition system based on SVM The moving region extraction uses adaptive Gaussian mixture background modeling feature algorithm, hog + LBP machine learning method