资源列表
input
- very good and you can try to write every thing you want(so cool and you can get it so cool)
chapter20
- 使用神经网络筛选变量，达到较好的结果，使用的是BP神经网络(The neural network is used to screen the variables and achieve better results. The BP neural network is used)
Lecture_9_pandas_plot
- pandas画图，主要介绍使用paython中的画图方法对pandas中的数据进行可视化处理。(Pandas drawing, mainly introduces the use of paython drawing method, pandas data visualization processing.)
fft_convolution
- 实现了基于fft的卷积算法。更快速和高效(The convolution algorithm based on FFT is implemented)
代码
- 静态背景 ，显著目标提取，帧间差分法，背景差分法，运动目标提取(Moving object extraction)
SMR
- 替换矩阵源代码，基于分类的加权稀疏表示方法(Substitution Matrix Representation source code)
mohubijin
- 基本的模糊逼近算法，针对随机性数学模型，对象具有随机性或然性(Fuzzy approximation algorithm)
Desktop
- 可以实现matlab中文分词采用反向最大匹配法可以准确实现分词(Matlab Chinese word segmentation can be achieved, using the reverse maximum matching method, you can accurately achieve word segmentation)
京东
- 京东界面滚动，利用锚点，javascr ipt原生代码实现(jingdong scroll ,use javascr ipt)
matlab
- 纹理识别，LTV，通过求梯度，进而求图像的局部总变差，对指纹图像进行纹理提取(Texture recognition, LTV, by seeking gradient, and then find the local image of the total variation, the fingerprint image texture extraction)
Untitled8
- 通过遗传与变异，寻求rosenbrock函数的最优解。求解速度快(Through heredity and variation, the optimal solution of Rosenbrock function is sought. Quick solution)
ExtractKeyFrame
- 一般情况下，一个完整的机器人视觉应用需要用到这三个工具箱（我会近期开发一个使用MATLAB实现的家庭安全检测系统，可以详细讲解一下整个流程(In general, a complete robot vision application requires the use of these three toolkits (I will develop a home security detection system using MATLAB in the near future, which can