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classifer
- 二分类问题采用包括逻辑回归、最小二乘法、感知器算法（按下space不断迭代）、svm线性分类，另外还有高斯分线性分类（待完善），针对平面上两类点进行分类-Second classification using logistic regression, the method of least squares, perception algorithm (Press space iteratively) svm linear classification, in addition to the Ga
22_UseIteratorAccessPixel
- 用迭代器访问像素。开发测试所用IDE版本：Visual Studio 2010；功能：处理每个像素，并输出运行时间。-Access pixel with iterators. IDE version used for development testing: Visual Studio 2010 Function: processing each pixel, and outputs the run time.
Adaboost
- Adaboost是一种迭代算法,其核心思想是针对同一个训练集训练不同的分类器(弱分类器),然后把这些弱分类器集合起来,构成一个更强的最终分类器-Adaboost is an iterative algorithm, the core idea is the same training set for different classifiers (weak classifiers), and then set up these weak classifiers to form a stronger
Adaboost
- Adaboost是一种迭代算法,其核心思想是针对同一个训练集训练不同的分类器(弱分类器),然后把这些弱分类器集合起来,构成一个更强的最终分类器-Adaboost is an iterative algorithm, the core idea is the same training set for different classifiers (weak classifiers), and then set up these weak classifiers to form a stronger
UseIteratorAccessPixel
- 在OpenCV中用迭代器访问像素实例。 -Examples of using iterators access pixels. Examples of using iterators access pixels.
how_to_scan_images
- 列举了四种方法扫描图像，分别是利用指针；迭代器；at操作符；和OpenCV自带的LUT方法。比较他们的用时。(how to scan images.copare the cosuming time.)
2用迭代器访问像素
- 编程环境：VS+OPENCV ，对于初学者学习基于opencv的图像处理非常有帮助，此节点主要是用迭代器访问像素点的一些方法。(Programming environment: VS + OPENCV, for beginners to learn based on opencv image processing is very helpful, this node is mainly used to access the pixel iterator some of the methods.)