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Perceptron-Algorithm
- 模式识别是对样本进行聚类，感知器算法是通过迭代计算修正权向量，使样本满足条件，从而实现分类。本程序对感知器算法进行了改进，当权向量不满足时，立即退出此轮计算，进入下一轮迭代，从而减少了计算次数。程序对代码有详细注释，对样本的个数和维数自动判别。-Pattern recognition, clustering samples, perception algorithm is iterative correction weight vector samples meet the conditions
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(强分类器)。-Adaboost is an iterative algorithm, its core idea is different classifications for the same training set (weak classifiers), then these weak classifiers together to form a
beijing03
- 背景提取，迭代法(Surendra算法）；即采用帧差的方法，一帧图像减去前一帧图像，即可以对比得到图像中变化（移动）的区域，扣除移动的区域，即得到不动的背景。采用多帧图像迭代的方法，得到更加准确的背景。-Background extraction, iterative method (Surendra algorithm) frame difference method is used, an image by subtracting the previous frame, which can
two_phase_sparse_ORL
- 两阶段测试样本稀疏表示方法具有识别率高的特点，有助于准确分类测试样本，但稀疏方法迭代时间长，效率较低，因此仍需要与其他方法进行结合-Two-stage test sample sparse representation method has high recognition rate, helps to accurately classify the test samples, but sparse iterative approach for a long time, less efficie
single-gaussian-background-model
- 单高斯模型是一种图像处理背景提取的处理方法，适用于背景单一不变的场合，其他如混合高斯模型等方法都是对单高斯模型的扩展，单以单高斯模型最为简便，而且采取参数迭代方式，不用每次都进行建模处理。-Single gaussian model is a kind of processing methods of background extraction, image processing is suitable for the single constant background, other meth
multiplerpower
- 乘子迭代过程，五个文件,实现迭代运算，有效提高性能-Multiplier iteration process ONE，Implement iterative operation, effectively improve the performance to realize iterative operation, effectively improve the performance
82692999pls
- 偏最小二乘（PLS），在保留输入变量的最大信息条件小，现在输入和输出组中建立模型，再用非线性迭代法提取类间特征-Partial Least Squares (PLS), in the small reservation conditions for maximum information input variables, input and output modeling group now and then between nonlinear iterative feature extract
Iterative-Threshold-Selection
- 数字图像分析处理（机器视觉）迭代式阈值选择-Iterative Threshold Selection
IXM
- 基于马尔科夫随机场的图像分割matlab源码,包括ICM迭代条件模式-Image segmentation based on markov random field of matlab source, including ICM iterative conditional mode
117904
- 基于马尔科夫随机场的图像分割matlab源码,包括ICM迭代条件模式(Image segmentation based on markov random field of matlab source, including ICM iterative conditional mode)
分类
- 图像分类，输出迭代学习次数与正确率的图像(Image classification, the output of iterative learning times and the correct rate of image)