搜索资源列表
Adaboost
- 一个分类器，实现对特征的分类，共同学习，共同进步，一起讨论，加油-A classifier, to achieve the classification of features, common learning and common progress, to discuss, refueling
Fisher-linear-classify
- matlab 实现线性分类器 包含图表，m文件，实验报告-the linear classifier matlab that contains the chart, m file, lab report
adaboost
- 采用matlab实现了Adaboost分类器算法，有利于学生对分类器的学习！-The function of this code is to implement the Adaboost algorithm using matlab programming language,which is very useful to learn of all kinds of classifier for students, especially for beginners.
bayescls
- 贝叶斯分类器代码，介绍贝叶斯分类器的功能-Bayesian classifier code, describes the function of the Bayesian classifier
filter--classifier
- matlab数字信号处理，输入图像矩阵和窗口大小，进行中值滤波,平均滤波，svm分类器-Digital signal processing, input image matrix, and window size，median filter,Average filter, svm classifier
ProfileFace10
- 训练好的人脸正面分类器，可直接载入运行，-Positive face trained classifier, can be directly loaded run
facedetec-vcPP
- 训练好的人脸分类器，可直接载入运行，基于adaboost的级联分类器-Trained face classifier, can be directly loaded to run, based on cascade classifier adaboost
Adaboost
- Adaboost算法是一类弱分类器，本算法使用adaboost算法实现对于训练数据划分成两个组，然后可以用来进行数据的分类。-Adaboost algorithm is a class of weak classifier, the algorithm uses adaboost algorithm for the training data into two groups, and then can be used for data classification.
Pattern-recognition-experiment
- 基于Fisher线性判别的基因分类器的设计，里面有源程序-Fisher linear discriminant based on the gene classifier design, which has source code
Pattern-recognition-experiment1
- 基于多层感知器的DNA序列分类器的设计,里面有说明文档和源程序-Based on the DNA sequence of MLP classifier design, which has documentation and source code
shenjingwangluo
- 模式识别作业实现感知器，BP分类器及异或门-Pattern recognition operations to achieve perceptron, BP classifier and XOR gates
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.
zuijinlinfenlei
- 我们使用MATLAB软件实现了人脸识别并统计其识别率。本实验采用PCA（主成分分析）方法，利用K-L变换和奇异值分解原理实现。并分别采用最近邻法分类器得出它们的成功率。-We use face recognition software and the MATLAB Statistics recognition rate. The present study, PCA (principal component analysis) method, using KL transform and sin
KNN
- 使用matlab实现的KNN分类器，可以设置最近邻的个数-Implemented using the KNN classifier matlab, you can set the number of nearest neighbor
BloomPFilter
- BLOOM FILTER 分类器c++实现的-BLOOM FILTER
96940191bayesian
- 贝叶斯分类器相关源码文件 可以做一个较简单的贝叶斯分类器-Bayesian classifier
code
- 分类器的实现，线性分类器的有关代码。matlap实现-Classifier to achieve a linear classifier on the code.
Bayes
- 贝叶斯分类器 多个文件 可直接运行 模式识别类-Bayesian classifier
gabor-pca
- 本程序是先用gabor小波变换对人脸图像处理，然后在用pca进行降维，最后用svm分类器进行多分类分类识别，包扩完整的orl人脸库，需注意的是，svm工具箱是用的libsvm工具箱，运行前先配置好libsvm。版本号：libsvm-mat-2[1].89-3[FarutoUltimate3.0]-This procedure is to use the human face gabor wavelet transform image processing, and then to reduce
question2
- fisher线性分类器训练计算样本错误率，画投影直线-fisher linear classifier training sample error rate calculation, draw a straight line projection