UntitledE

说明：  高斯过程在分类中的应用。本程序采用拉普拉斯逼近基于高斯过程的贝叶斯分类。(Gaussian process in the Classification. This procedure uses the Laplace approximation of Gaussian processes based on Bayesian classification.)

this code helps to solve genetic algorithms

SRM torque plot and generation model

Programs for various digital signal generation

图像的稀疏表示，用小波系数经过的构造的矩阵稀疏化后，用少数的系数表示图像。(Image sparse representation, constructed after the matrix of wavelet coefficients after thinning, with a small number of coefficients represent the image.)

二维的各项异性扩散方程，根据偏微分方程中的p-m编写的。(failed to translate)

说明：  基于视觉注意机制的图像显著图提取，包括亮度，dkl颜色，方向等通道，合成图像的显著性描述图(Image-based visual attention saliency map mechanism extraction, including brightness, dkl color and direction of channels, the significance of synthetic image description graph)

AR模型预测算法，使用BIC准则定阶，简单易懂(AR model prediction, using the BIC criteria set order)

时间提前程序，讲时间序列统一提前一年，在雨量站资料处理上很有用(Program ahead of time, say one year ahead of time series, uniform, stand in the rain on the useful data processing)

这是一个求最短路的算法，用DIJKSTRA的方法(This is a shortest path algorithm for)