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code
说明： 高斯过程回归单模型 基于主成分子模型融合PCS-GPR 图像分析找不同 支持向量机回归建模 人工神经网络(Gaussian process regression single model fusion based on principal component synthesis PCS-GPR image analysis to find different support vector machine regression modeling artificial neural network)
- 2021-03-05 16:49:30下载
- 积分：1
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L1-APG_release
这是一个完整的基于联合概率和先验模板的目标跟踪代码，运用APG求解最小化问题，有详细注释。(This is a complete object tracking code based on joint probability and a priori template. It uses APG to solve the minimization problem with detailed annotations.)
- 2018-10-23 17:36:06下载
- 积分：1
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BR_SVM
说明： 使用iwr16xx雷达板进行人体摔倒检测(Fall detection, useTI iwr16xx board)
- 2019-06-08 20:02:19下载
- 积分：1
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WIMChannel
matlab仿真使用的winner无线信道模型，用于研究中的仿真平台的搭建(matlab simulation winner wireless channel model used for studying the structures of the simulation platform)
- 2010-11-20 11:10:29下载
- 积分：1
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Wiener-filter-
逆滤波与维纳滤波和约束最小二乘滤波复原,有助于初学者(Inverse filter and Wiener filter and constrained least squares filtering for restoration to help beginners)
- 2011-05-10 16:25:45下载
- 积分：1
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Harris-corner-detector
Harris detector
The code calculates the Harris Feature Points When you execute the code, the test image file opened and you have to select by the mouse the region where you want to find the Harris points, then the code will print out and display the feature points in the selected region. You can select the number of FPs by changing the variables max_N & min_N
- 2009-11-03 05:57:20下载
- 积分：1
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DigitalImageProcessingUsingMatlab
冈萨雷斯的数字图像处理MATLAB版，绝对经典！(Digital Image Processing Gonzalez MATLAB version of the absolute classic!)
- 2009-07-05 10:55:27下载
- 积分：1
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math_exp
说明： matalb的经典算法，是关于直线拟合等等内容的(matalb classic algorithms, and so the content on the linear fitting)
- 2011-04-07 18:52:03下载
- 积分：1
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face_detection
可以进行简单的人脸识别，输入图片之后与图库逐个比较(Face recognition can be simple, enter the picture one by one after the comparison with the Gallery)
- 2010-05-21 15:27:14下载
- 积分：1
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a
说明： 决策树(Decision Tree）是在已知各种情况发生概率的基础上，通过构成决策树来求取净现值的期望值大于等于零的概率，评价项目风险，判断其可行性的决策分析方法，是直观运用概率分析的一种图解法。由于这种决策分支画成图形很像一棵树的枝干，故称决策树。在机器学习中，决策树是一个预测模型，他代表的是对象属性与对象值之间的一种映射关系。Entropy = 系统的凌乱程度，使用算法ID3, C4.5和C5.0生成树算法使用熵。这一度量是基于信息学理论中熵的概念。
决策树是一种树形结构，其中每个内部节点表示一个属性上的测试，每个分支代表一个测试输出，每个叶节点代表一种类别。
分类树（决策树）是一种十分常用的分类方法。它是一种监督学习，所谓监督学习就是给定一堆样本，每个样本都有一组属性和一个类别，这些类别是事先确定的，那么通过学习得到一个分类器，这个分类器能够对新出现的对象给出正确的分类。这样的机器学习就被称之为监督学习。(Decision tree is a decision analysis method based on the known probability of occurrence of various situations, which can calculate the probability that the expected value of net present value is greater than or equal to zero, evaluate the project risk and judge its feasibility by constructing a decision tree. It is a graphic method of intuitively using probability analysis. Because this kind of decision branch is drawn as a graph, it is very similar to the branch of a tree, so it is called decision tree. In machine learning, decision tree is a prediction model, which represents a mapping relationship between object attributes and object values. Entropy = the disorder degree of the system, using algorithms ID3, C4.5 and C5.0, spanning tree algorithm using entropy. This measure is based on the concept of entropy in information theory.)
- 2021-02-01 15:02:09下载
- 积分：1
