bayesian

说明：  PCA人脸识别 This package implements basic Principal Component Analysis in Matlab and tests is with grayscale portion of the FERET database. Images are not preprocessed and it is up to the user to preprocess the images as wanted, not changing the filenames(PCA Face Recognition This package implements basic Principal Component Analysis in Matlab andtests is with grayscale portion of the FERET database. Images are notpreprocessed and it is up to the user to preprocess the images as wanted, not changing the filenames)

Color Quantization Techniques

该程序为MATLAB源码，使用SVM算法（简易实现）进行分类。(Classify using (a very simple implementation of) the support vector machine algorithm)

The architecture of this set of codes and the interaction among them is shown in Figure 1. The main testing code main code.m calls the code riemann grad unit opt.m that performs Riemannian optimization under unitary matrix constraint. Steepest Descent/Ascent (SD/SA) algorithm (see Table 3.2 in [1]), Conjugate Gradient (CG-PR, CG-FR) algo- rithms (both Fletcher-Reeves and Polak-Ribi`ere formulas, see Table 3.3 in [1]), are im- plemented. This code further calls the codes implementing line search methods: Armijo method geod search armijo.m, as well as the polynomial and DFT-based approximation

已知三点，求过三点的圆的半径，和圆心坐标。若三点在同一直线上或有两点重叠则返回覆盖三点的最小圆半径 开发环境 Matlab(failed to translate)

some paper talk about how to use hmm train data (some paper talk about how to use hmm train data )

全自由度空时自适应处理,加载数据后可以直接运行(Full freedom of space-time adaptive processing, loading data can be run directly)

求信号的时频熵，对非平稳信号进行emd分解后，求时频熵，得出其故障特征(For the signal s time-frequency entropy, the nonstationary signals are EMD decomposition, and time-frequency entropy, the fault feature)

正弦信号频谱分析，简单句子，抛砖引玉(analysis of signal sign)

add kml file to matlan