VSMexample

说明：  给照片加相框，相框的边界可根据照片的尺寸自动调节，支持灰度和彩色jpg照片。(This code frames images with a beautiful frame. Automatically adjusts the bordering i.e. framing according to the image s dimensions. Works for both colored and gray images. )

说明：  （1）人脸图像的采集 （2）人脸图像增强：去噪、均衡、尺寸归一化、倾斜校正等 （3）脸部肤色区域分割：采用肤色模型检测与分割人脸肤色区域 （4）脸部五官区域分割：采用算法将人脸分割成眉毛、眼睛、鼻子、嘴巴等多个区域((1) Facial image acquisition (2) Face Image Enhancement: Denoising, Equalization, Size Normalization, Tilt Correction, etc. (3) Facial skin color region segmentation: using skin color model to detect and segment face skin color region (4) Facial Five-sense Region Segmentation: Face is segmented into eyebrows, eyes, nose, mouth and other regions by using the algorithm.)

有关案例推理的matlab源程序,比较简单,请大家多指教(the CBR source of Matlab, relatively simple, please enlighten more)

一种基于区域活动轮廓模型，通过引入局部的图像拟合能量来提取图像的局部信息，能够有效的额分割强度不均一的图片。较传统的水平集方法有更少的计算量(By introducing the local image fitting(LIFenergy to extract the local image information,our model is able to segment image with intensity inhomogeneities.)

ITS an IEEE paper about Network Security Management Tool for Distribution Systems.

说明：  包括时间延迟参数的确定，G_P方法，相空间重构等源码。绝对可以运行。(Including the time delay parameters, G_P methods, such as phase-space reconstruction source. Definitely can run.)

鲁棒主成分分析 低秩与稀疏矩阵分解 增广拉格朗日 图像重建、去噪(robust pca low-rank and sparse matrix decomposition)

该文件详细介绍了各种最小二乘算法的实现步骤，给出了实验仿真的例子和MATLAB程序，对学校最小二乘相关算法的人非常好(The document details the steps of various least squares algorithm, an experimental simulation examples and MATLAB programs for school-related least squares algorithm are very good)

this code will help you to compute a ROC curve

主成分分析(Principal Component Analysis, 简称PCA)是一种常用的基于变量协方差矩阵对信息进行处理、压缩和抽提的有效方法。 (The principal component analysis (Principal Component Analysis, PCA) is a common covariance matrix of information processing, compression and extraction.)