资源列表
SparseDimension-Reduction
- 利用双收缩模型;来进行稀疏维数约简。TIP的文章-Double Shrinking SparseDimension Reduction
Nearest-Feature-Space
- 最近邻特征空间分析和鉴别最近邻特征空间分析,用于人脸和表情识别。-Nearest Feature Space Analysis for Classification
Nearest-Feature-Line-Analysis
- 基于不相关家别最近邻特征线分析的人脸识别研究。-Uncorrelated Discriminant Nearest Feature Line Analysis for Face Recognition
FFTanalsis
- FFT 概率密度函数估计 概率论与数理统计-FFT probability density function estimation
Example-Source
- 这是Basic的写代码对韩国mini机器人,主要是机器人伺服控制,一些舞蹈动作的控制和点球动作的代码-This is Basic to write code for Korean mini robots, mainly robot servo control, some dance moves motion control and penalty code
tc
- 德州扑克的一个AI,尚缺少用户接口,可以输命令-A Texas Hold em AI, still lack a user interface, you can enter the command
unicode_astar
- 用智能搜索算法A星算法解决8位码问题,。- A star with a smart search algorithm algorithm to solve the problem 8 yards
Desktop
- 基于实际应用的人脸识别系统, 解压下来就可以用。注意请讲图片读取地址加以更改。-Face detection based on specific method that can be applied.
Solvers
- 各种稀疏表达,求优化问题,代入数据后可直接运行。-sparse representation
BP-neural-network-source
- BP神经网络源程序,高深的算法,适用于科研等高深领域-BP neural network source, advanced algorithm for research and other advanced fields
BP-network
- 训练样本对BP网络训练,可输入测试样本,设置目标期望输出-Training samples for BP network training, enter the test samples, set the desired output target
RFCM
- 利用粗糙模糊集聚类(RFCM)思想的聚类方法对UCI数据集中的Wine进行聚类分析。Wine数据集共包含13个属性,其中第一个是决策属性,剩下的是连续型的条件属性,一共包含178个对象。-Fuzzy clustering method using rough clustering (RFCM) thoughts on UCI Wine dataset cluster analysis. Wine data set contains a total of 13 properties, of whi
