KMeans

基于Fisher线性判别基础学习器的集成分类器专门用于数字媒体的隐写分析，目前使用高维特征空间。目前，由于其良好的检测精度和较小的计算成本，它可能是设计监督分类器用于数字图像隐写分析的最常用方法。(The ensemble classifier, based on Fisher Linear Discriminant base learners, was introduced specifically for steganalysis of digital media, which currently uses high-dimensional feature spaces. Presently it is probably the most used method to design supervised classifier for steganalysis of digital images because of its good detection accuracy and small computational cost. It has been assumed by the community that the classifier implements a non-linear boundary through pooling binary decision of individual classifiers within the ensemble.)

图像的自动多阈值分割，可以进行灰度图像的自动分割。(Automatic multi-image threshold segmentation, gray-scale images can be automatically split.)

用matlab实现了一系列示例：球差，慧差，像差，像散。(Using matlab to achieve a series of examples: spherical aberration, coma, aberration, astigmatism.)

nca,近邻成分分析，距离度量学习里常用的。(nca)

relief 特征选择算法，用来约简数据属性。图像处理等(Relief feature selection algorithm is used to reduce data attributes. Image processing, etc.)

本书是第一本也是唯一一本详细介绍LOD(Level of Detail)的书。本书介绍了LOD的理论和多种实现的算法，讨论了LOD的实际应用，包括游戏编程中的优化、地形的优化等。本书是所有从事计算机图形领域的专业人士所必须参考的书，包括计算机游戏编程、医学可视化、计算机辅助设计，以及虚拟现实系统等等。(This book is the first and only one detail LOD (Level of Detail) book. This book introduces the theory and a variety of LOD realization algorithm, discussed the practical application of LOD, including game programming in the optimization, optimization, such as terrain. This book is all persons engaged in the field of computer graphics professionals who need to reference books, including computer game programming, medical visualization, computer-aided design and virtual reality systems.)

利用matlab的DCT2函数，对图像做变换并压缩。并用8*8对图像分块，对每一块计算均方值作为阈值。(DCT2 use the matlab function, and transform the image so compressed. And 8* 8 image block, a calculation of each mean square value as a threshold.)

序列匹配c++实现，可以帮助理解序列匹配算法(Sequence matching c++ implementation can help to understand the sequence matching algorithm)

小波去噪的程序，很好用，推荐给大家使用。(Wavelet denoising procedures, very easy to use, recommended for everyone to use)

非下采样轮廓波变换，NSCT变换，主要用于图像去噪(Non - down sampling contourlet transform and NSCT transform are mainly used for image denoising.)