搜索资源列表
pdmin_a19fk3
- 本程序是先用YxCOdz小波变换对人脸图像处理，然后在用zKOgbVo进行降维，最后用zKOgbVo分类器进行多分类分类识别。matlab程序实现，调试没有错误。 -This procedure is to use wavelet transformYxCOdz face image processing, and then use zKOgbVo dimensionality reduction, and finally multi Classification for identific
pdmin_b5he7q
- 本程序是先用ZciwUI小波变换对人脸图像处理，然后在用NnIXOUR进行降维，最后用NnIXOUR分类器进行多分类分类识别。matlab程序实现，调试没有错误。 -This procedure is to use wavelet transformZciwUI face image processing, and then use NnIXOUR dimensionality reduction, and finally multi Classification for identific
pdmin_cbhvts
- 本程序是先用MfCSvL小波变换对人脸图像处理，然后在用NlIaujG进行降维，最后用NlIaujG分类器进行多分类分类识别。matlab程序实现，调试没有错误。 -This procedure is to use wavelet transformMfCSvL face image processing, and then use NlIaujG dimensionality reduction, and finally multi Classification for identific
pdmin_cj95go
- 本程序是先用diLzJX小波变换对人脸图像处理，然后在用NPBkRIy进行降维，最后用NPBkRIy分类器进行多分类分类识别。matlab程序实现，调试没有错误。 -This procedure is to use wavelet transformdiLzJX face image processing, and then use NPBkRIy dimensionality reduction, and finally multi Classification for identific
pdmin_d2ddvc
- 本程序是先用ZYzuAk小波变换对人脸图像处理，然后在用FGiMPDT进行降维，最后用FGiMPDT分类器进行多分类分类识别。matlab程序实现，调试没有错误。 -This procedure is to use wavelet transformZYzuAk face image processing, and then use FGiMPDT dimensionality reduction, and finally multi Classification for identific
pdmin_dp7uy8
- 本程序是先用EjLnRw小波变换对人脸图像处理，然后在用ToZCZWm进行降维，最后用ToZCZWm分类器进行多分类分类识别。matlab程序实现，调试没有错误。 -This procedure is to use wavelet transformEjLnRw face image processing, and then use ToZCZWm dimensionality reduction, and finally multi Classification for identific
pdmin_ebfl63
- 本程序是先用kdFmGB小波变换对人脸图像处理，然后在用zsXOXtd进行降维，最后用zsXOXtd分类器进行多分类分类识别。matlab程序实现，调试没有错误。 -This procedure is to use wavelet transformkdFmGB face image processing, and then use zsXOXtd dimensionality reduction, and finally multi Classification for identific
pdmin_fh17hk
- 本程序是先用mATvxm小波变换对人脸图像处理，然后在用IETCoRo进行降维，最后用IETCoRo分类器进行多分类分类识别。matlab程序实现，调试没有错误。 -This procedure is to use wavelet transformmATvxm face image processing, and then use IETCoRo dimensionality reduction, and finally multi Classification for identific
Timer_8fqt6b
- 本程序是先用NnBOJC小波变换对人脸图像处理，然后在用IyczeiD进行降维，最后用IyczeiD分类器进行多分类分类识别。matlab程序实现，调试没有错误。 -This procedure is to use wavelet transformNnBOJC face image processing, and then use IyczeiD dimensionality reduction, and finally multi Classification for identific
Timer_3ps6aq
- 本程序是先用UKgHtY小波变换对人脸图像处理，然后在用YtHNqgW进行降维，最后用YtHNqgW分类器进行多分类分类识别。matlab程序实现，调试没有错误。 -This procedure is to use wavelet transformUKgHtY face image processing, and then use YtHNqgW dimensionality reduction, and finally multi Classification for identific
pudn_zdkiwc
- 本程序是先用MbFaKM小波变换对人脸图像处理，然后在用JTNBRXL进行降维，最后用JTNBRXL分类器进行多分类分类识别。matlab程序实现，调试没有错误。 -This procedure is to use wavelet transformMbFaKM face image processing, and then use JTNBRXL dimensionality reduction, and finally multi Classification for identific
Nonlinear-classifier
- 非线性分类器，包括ANN-BP算法的matlab代码实现和性能分析，以及近邻法的实现-Non-linear classifiers, including ANN-BP algorithm matlab code and performance analysis, and nearest neighbor methods to achieve
LDA-human-face-identity
- 人脸识别的matlab程序，包含有 example: 演示程序 creatData:生成数据 creatTrainLabelMat:生成数据标签 LDA:提取fisherface knnRecognition:knn分类器 knnsearch:knn搜索-Face recognition matlab procedures, including a example: demo program creatData: generate data creatTrainLabel
fisher_classify
- MATLAB版本的LDA线性分类器,具体包括计算类内离散度矩阵，类间离散度矩阵，以及训练集各类在新坐标轴上的投影。代码原来用于肌电特征的分类，亦可用于其他机器学习案例-the LDA classifier wrote in MATLAB
mlclass-ex5
- 机器学习相关内容，基于matlab仿真，实现了线性回归分类器的功能-Files included in this exercise ex1.m- Octave scr ipt that will help step you through the exercise ex1 multi.m- Octave scr ipt for the later parts of the exercise ex1data1.txt- Dataset for linear regression wit
moshishibie
- 基于matlab的模式识别基础实例源代码，包括贝叶斯分类器，Fisher线性判别，主成分分析，k均值聚类等。-Based on pattern recognition based matlab examples of source code, including Bayesian classifier, Fisher linear discriminant analysis, principal component analysis, k-means clustering.
Pattern-Classification
- 数据挖掘必备，matlab源码，模式识别多种分类器汇总，测试均能通过-Pattern Classification 2nd edition (Matlab code)
bayes
- 将模式识别方法与图像处理技术相结合，掌握利用最小错分概率贝叶斯分类器进行图像分类的基本方法-bayes with matlab
rosenblatt
- matlab实现了Rosenblatt分类器，其中包括了生成随机数据的函数，以及主要算法，可以直接执行。-matlab implements Rosenblatt classifier, including function, and the main algorithm to generate random data can be directly d.
PeopleDetection-master
- 使用MATLAB语言，利用HOG特征和svm分类器来实现行人的检测-Using MATLAB language, the use of HOG features and SVM classifier to achieve pedestrian detection