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- 基于最小平方误差准则函数的分类器设计编写程序过程中，难点是收敛判别-Based on the least square error criterion function of the classifier design process of the preparation process, the difficulty of convergence discriminant
matlab
- 模式识别中的线性分类器的设计，包括感知机，最小二乘法和支撑矢量机的算法的MATLAB代码。-Pattern Recognition linear classifier design, including perception, least squares and support vector machine algorithm MATLAB code.
Bayes-Iris
- 根据贝叶斯原理设计的一个简单的分类器，利用已知样本数据训练后，分类器就可以对未知样本进行分类。（实验时采用的是Iris数据集。）-According to the design of a simple Bayesian classifier, using the known training sample data, the classifier can classify the unknown samples. (Experiments using the Iris data set.)
10
- 本文提出了一种基于学习的相似性度量方 法, 即将图像配准的度量问题转化为模式分类问题, 由基于机器学习设计的分类器自动检验图像是否配准. 本文对400 组图像进行了配准检验, 实验结果显示了该方法的可行性和可靠性.-This paper proposes a similarity measure based on learning methods, about the measurement problems of image registration into the pattern c
Identification-Based-on-Iris-Pattern
- 虹膜识别的经典论文，包括虹膜预处理、特征提取、分类器的设计，完成虹膜匹配。-Classic paper of iris recognition, including iris preprocessing, feature extraction, classifier design, complete iris match.
bayesian
- 利用贝叶斯公式进行设计分类器的设计，分别做出协方差相同和不同两种情况下的判别分类边界。 -Designed using Bayes classifier design, respectively, to make the same and different covariance both cases, the discriminant classification boundaries.
eg2
- 用其中一半的数据采用ANN-BP算法设计分类器，另一半数据用于测试分类器性能。-Half of them with the data ANN-BP algorithm design classifier, and the other half data used to test the performance of classification.
recognition-algorithm-design
- 运用帧差序列图像进行背景建模与更新，采用背景差分和LBP纹理分析法进行运动车辆的分割及阴影消除。提出车辆形状投影量的概念，将视频车辆二维形状信息降至一维，并设计二维输入模糊分类器，根据形状投影量和车高，车长比，完成车型的多种类精细识别。-Frame difference image sequence background modeling and updating, background subtraction and the LBP texture analysis method for th
svm-ses
- 分别采用感知机算法、最小平方误差算法、线性SVM算法设计分类器，分别画出决策面，并比较性能。-The machine algorithm respectively perception, the minimum square error algorithm, linear SVM classifier algorithm design, respectively, draw the decision surface, and compare the performance.
Linear-classifier-design
- 对“data1.m”数据，分别采用感知机算法、最小平方误差算法、线性SVM算法设计分类器，分别画出决策面，并比较性能。-The "data1.m" data, respectively, using the perceptron algorithm, the least square error algorithm, the linear SVM algorithm design classifier, respectively, to draw the decision-making surf
SVM
- 基于svm的分类器设计程序，模式识别分类器设计中很有用，值得分享。-Pattern recognition classifier design based on the the the svm classifier design program, useful and worth sharing.
MinNearClasser
- k最邻近算法，经典的分类算法设计的分类器，灰常有用哦-k nearest neighbor algorithm, the classical classification algorithms classifier design, often with gray
demo
- 印刷体汉字识别，VC++。包括汉字的特征提取，分类器的设计，选用人工神经网络等方法。-Printed character recognition, VC++. Including Chinese characters feature extraction, classifier design, selection of artificial neural networks and other methods.
SURF
- 基于surf的图片分类器，用matlab设计完成，功能简单明了-Surf images based classifier using matlab design is completed, the function is simple
MyCode
- cnn结合xgboost代码,用于多分类器的设计(CNN related code,combined with xgboost,it is used to classify things.)