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FastMatchTemplate
Fast template matching code with c++
- 2011-09-27 22:35:01下载
- 积分：1
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57b
信号处理滤波器程序，可以加窗函数等操作，(Signal processing filter procedures, functions and other operations can be added to the window,)
- 2011-11-19 21:11:09下载
- 积分：1
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data
对实验采集数据进行线性处理，使得最后得到的实验结果近似于一条直线。(Linear processing of experimental data collection, so that the final experimental results obtained approximates a straight line.)
- 2013-05-05 01:33:07下载
- 积分：1
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MATLABmingling
Matlab命令大全，所有人均可以下载，希望能给与大家一定的帮助！(Matlab command Guinness, everyone can download, I hope everyone can give some help with!)
- 2007-09-26 16:28:09下载
- 积分：1
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rgb2lab_ruzon.tar
Transform the rgb color space to lab color space.Assume that white point is D65(Transform the rgb color space to lab color space.Assume that white point is D65)
- 2011-05-04 01:20:44下载
- 积分：1
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zernike
compute zernike moments for squared binary images
- 2011-07-31 02:15:07下载
- 积分：1
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TMA_11
单阵纯方位目标运动分析及双阵纯方位目标运动分析 包括观察者运动与目标运动函数修正
可惜修改两者运动轨迹(Single sensor bearings-only target motion analysis and dual-array bearings-only target motion analysis, including observer movement and target movement function correction Unfortunately, modify both trajectory)
- 2020-11-20 08:59:36下载
- 积分：1
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PSD_Corr
现代信号处理中的功率谱估计的协方差算法。程序直观明了。(the algorithm in modern signal processing.)
- 2011-12-14 00:19:52下载
- 积分：1
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tp_sinosoidal_triangular_carrier_regular_asymmetr
SINUSOIDAL ASYMETRIC PWM MODULATION BASED 3-PHASE INVERTER
- 2011-05-02 15:13:00下载
- 积分：1
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adaboost
AdaBoost元算法属于boosting系统融合方法中最流行的一种，说白了就是一种串行训练并且最后加权累加的系统融合方法。
具体的流程是：每一个训练样例都赋予相同的权重，并且权重满足归一化，经过第一个分类器分类之后，
计算第一个分类器的权重alpha值，并且更新每一个训练样例的权重，然后再进行第二个分类器的训练，相同的方法.......
直到错误率为0或者达到指定的训练轮数，其中最后预测的标签计算是各系统*alpha的加权和，然后sign（预测值）。
可以看出，训练流程是串行的，并且训练样例的权重是一直在变化的，分错的样本的权重不断加大，正确的样本的权重不断减小。
AdaBoost元算法是boosting中流行的一种，还有其他的系统融合的方法，比如bagging方法以及随机森林。
对于非均衡样本的处理，一般可以通过欠抽样(undersampling)或者过抽样(oversampling)，欠抽样是削减样本的数目，
过抽样是重复的选取某些样本，最好的方法是两种进行结合的方法。
同时可以通过删除离决策边界比较远的样例。
(AdaBoost boosting systems dollar fusion algorithm is the most popular one, it plainly systems integration approach is a serial train and final weighted cumulative.
Specific process is: Each training example is given equal weight, and the weights satisfy normalization, after the first classifiers after
Calculating a first classifier weights alpha value for each sample and updates right weight training, and then the second classifier training, the same way .......
0, or until the specified error rate training rounds, wherein the label is the calculation of the final prediction system* alpha weighted and then sign (predicted value).
As can be seen, the training process is serial, and weight training examples is always changing, the right of the wrong sample weight continued to increase, the right to correct sample weight decreasing.
AdaBoost algorithm is an element, as well as other methods of boosting popular systems integration, such as bagging and random forest method.
For )
- 2014-07-09 19:24:29下载
- 积分：1
