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ICA_demo_text
- ICA is used to classify text in extension to the latent semantic indexing framework. ICA show to align the context grouping structure well in a human sense [1], thus can be used for unsupervised classification. The demonstration shows this on medical
para
- 抛物线法求解 方程的构造方法:给出[0,1]区间上的随机数(服从均匀分布)作为方程的根p*. 设你的班级数为a3,学号的后两位数分别为a2与a1,从而得到你的三次方程 例如:你的31班的12号,则你的方程是21x3+60x2+2x+a0=0的形式. 方程中的系数a0由你得到的根p*来确定. -parabolic equation method Construction Methods : given interval [0,1] on the random numbe
advancenewton
- 改进的牛顿法求解： 方程的构造方法:给出[0,1]区间上的随机数(服从均匀分布)作为方程的根p*. 设你的班级数为a3,学号的后两位数分别为a2与a1,从而得到你的三次方程 例如:你的31班的12号,则你的方程是21x3+60x2+2x+a0=0的形式. 方程中的系数a0由你得到的根p*来确定. -improve Newton's method : Construction of the equation : given interval [0,1] o
hypot
- 抛物线法求解 方程的构造方法:给出[0,1]区间上的随机数(服从均匀分布)作为方程的根p*. 设你的班级数为a3,学号的后两位数分别为a2与a1,从而得到你的三次方程 例如:你的31班的12号,则你的方程是21x3+60x2+2x+a0=0的形式. 方程中的系数a0由你得到的根p*来确定. -parabolic equation method Construction Methods : given interval [0,1] on the random numbe
Two-Category_Classifier
- This Two-Category Classifier Using Discriminant Functions to separeate two classes. The Classifier is designed on classes which has two feature vectors and other case it has one feature vector.
weighted_total_least_squares_approximation
- The toolbox solves a variety of approximate modeling problems for linear static models. The model can be parameterized in kernel, image, or input/output form and the approximation criterion, called misfit, is a weighted norm between the given data an
光学工程类的Matlab模拟程序
- 光学工程类的Matlab模拟程序，一个是透镜的成像原理模拟，一个是平板成像,Optical engineering classes Matlab simulation program, one lens of the imaging principle simulation, a flat-panel imaging
PCA_LDA.rar
- 《机器学习》课上的作业，PCA和LDA降维，尽管网上很多，但很少注释，另外细节上也没注意。这里有很详细的注释。另外还附上一个Naive贝叶斯分类器，大家可以作比较。附带的图像包是OLR人脸。ReducedDim为想要提取的特征数，不是百分比！," Machine learning" classes on the homework, PCA and LDA dimensionality reduction, even though a lot of online, but f
somlvq
- This project compares the performance of SOM versus LVQ in classification problems. Given two data sets: ‘iris.dat’ has 150 patterns of 3 classes with 4 features. ‘wine.dat’ has 178 patterns of 3 classes with 13 features. For SOM, use its alg
motorimage_Csp
- 脑电想象运动的csp特征提取分类算法 matlab平台，通过投票可以直接扩展到多类-Imagine the movement csp EEG feature extraction classification algorithm matlab platform, through the vote can be directly extended to multiple classes
speaker recognition
- 这个是用Matlab写成的说话人识别演示程序。-Currently, there are more than 20 classes in this library, including commonly used feature extraction algorithms and modeling techniques for speech recognition and speaker verification.-Currently, there are more than 20 classe
SAR POLSAR
- 关于SAR和极化SAR信息处理的好程序。Cloude.m——经典的Cloude极化分解方法中H/alpha参数的求解方法；classes.m——Cloude极化分解方法；myCFAR.m——三种SAR图像目标检测的恒虚警处理方法。全局CFAR，局部CFAR，指数CFAR-SAR and POLSAR information processing codes. Cloude.m-- H/alpha parameter ofclassic Cloude polarization decomposit
VOCdevkit_14-Apr-2008.tar
- PASCAL Visual Object Classes，视觉识别竞赛的程序，共有20大类视觉目标。用MATLAB代码写成。能生成precision/recall图。-PASCAL Visual Object Classes, Competition visual recognition procedures, a total of 20 major categories of the visual target. With code written in MATLAB. Able to gen
GraphCut
- Graph cut segmentationis is segment an image into two classes based on color.
otsu
- OTSU Gray-level image segmentation using Otsu s method. Iseg = OTSU(I,n) computes a segmented image (Iseg) containing n classes by means of Otsu s n-thresholding method (Otsu N, A Threshold Selection Method from Gray-Level Histograms, IEEE
levelfms
- 此应用程序不仅表明了基本的使用Microsoft基础类，而且也是一个起点书面申请。-This application not only demonstrates the basic use of Microsoft Foundation Classes, but also a starting point for an application in writing.
Swimming_relay_lingo
- 某班准备从5名游泳队员中选择4人组成接力队，参加学校的4×100m混合游泳接力比赛。 5名队员4种泳姿的百米平均成绩如下表，问应如何选拔队员组成接力队？-Classes to prepare a swim team from the five-member Select 4 relay team, participated in the School of the 4 × 100m relay swimming race mixing. Five members of the four kind
MOEA-NSGA-II
- genetic algorithm, simulated annealing, singleobjective, particle swarm optimi..., optimization, classes
kerneladatron
- kernel adatron, svm impelemtation using gradient ascent method, fast and accurate for solving SVM problem with two classes
SAND CLASSES
- sand classes from rutherford williamson paper their reflection coeffient