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DCC
- 基于典型相关性的线性鉴别分析，先用PCA对数据降维之后，再结合典型相性鉴别分析来得到转换矩阵-Based on a typical linear correlation analysis to identify, first PCA for data reduction, the combined analysis to identify the typical phase of the transformation matrix obtained
CoOccurence
- 共生矩阵的计算，用于纹理分析，代码效率高！-Calculation of co-occurrence matrix for texture analysis, efficient code!
texturefeature
- 特征提取、 纹理分析、灰度共生矩阵、纹理特征-Feature extraction, texture analysis, gray level co-occurrence matrix, texture features
CorrectCarNoImageAndRegnize
- 一种车牌图像校正新方法 【摘要】因摄像机角度而造成的机动车牌图像倾斜会对其后继的字符分割与识别带来不利的影响。本文在分析了车牌倾斜模式的基础上,提出了一种基于最小二乘支持向量机（LS-SVM）的车牌图像倾斜校正新方法。通过LS-SVM线性回归算法求取坐标变换矩阵并对畸变图像进行旋转校正。主要方法：首先,将二值倾斜车牌图像中的像素转换为二维坐标样本,并构造图像数据集 再通过LS-SVM线性回归算法对该数据集进行回归,求取主要参数 最后,再由该参数转换为能反映图像倾斜方向的2维坐标变换矩阵。实验
LR(0)
- LR(0)分析表及分析器的构造1. 对任意给定的文法 ，完成识别文法活前缀的 、 的状态转化矩阵及 项目集规范族的构造； 2. 判断该文法是否为 文法，实现 分析表的构造，并输出到指定文件中； 3. 实现 分析器总控程序，对输入的表达式进行文法分析。 -LR (0) of the table and the construction of a parser. On any given grammar, the identification prefix grammar acti
[7---2002]-Solving-the-small-sample-size-problem-
- The small sample size problem is often encountered in pattern recognition. It results in the singularity of the within-class scatter matrix S,? in Linear Discriminant Analysis (LDA). Dijjrent methods have been proposed la solve this problem in face
imagetiquyufenxi
- 图像识别，通过矩阵计算分别读入图像的形状，特征提取与分析-Image recognition, read through the matrix, respectively, the shape of the image feature extraction and analysis
pcaimage
- 基于主成分分析的图像压缩，通过传入图像矩阵、主成分配置、子块大小来进行PCA处理，可得到压缩重构的图像矩阵、压缩比、贡献率信息-Image compression based on principal component analysis, by passing the image matrix, the main component configuration, the sub-block size to PCA processing, compression can be obtained
ZXEBPK0
- 基于ＭＡＴＬＡＢ的辅助设计 简述了矩阵分析的重要性,及根轨迹的绘制方法(Aided design based on MATLAB This paper expounds the importance of matrix analysis, and drawing of root locus method)