ExtractMSERandSave

initial a bp neural network which gene optimzed

直接将秘密图像的高4bit隐藏在RGB载体图像的R,G,B层中所选的那一层的低4bit(Directly to the secret image hidden in the high-4bit RGB vector images R, G, B layer, then a layer of selected low-4bit)

this simulation code can detect teta for active filter

C-均值动态聚类算法 matlab 很简单对 一组样本点的分类和中心点(C- Means clustering algorithm Matlab is very simple sample of a point and focal point for the classification)

matlab 编程求拟合优度 和 分段函数实现 matlab 编程求拟合优度 和 分段函数实现(matlab meant for RSS matlab meant for RSS matlab meant for RSS matlab meant for RSS )

this is kodeing for poster

Principal component analysis (PCA) is a popular tool for linear dimensionality reduction and feature extraction. Kernel PCA is the nonlinear form of PCA, which is promising in exposing the more complicated correlation between original high-dimensional features. In this paper, we first talk about the basic ideas of PCA and kernel PCA, and then focus on the reconstruction of pre-images for kernel PCA. We also give an introduction on how PCA is used in active shape models (ASMs), and discuss how kernel PCA can be applied to improve traditional ASMs. Then we show some experiment results to compare the performance of kernel PCA and traditional PCA for pattern classification. We also implement the kernel PCA-based ASMs, and use it to construct human face models.

计算电磁学，本程序用于磁场积分方程求解圆柱散射(Magnetic field integral equation (MFIE) for 2-D cylinder scattering.)

图像压缩重构算法中的IRLS算法程序，可以运行(CS IRLS agritourism)

matlab code for that pdf