搜索资源列表
2
- 本程序利用pca实现故障诊断与人脸识别，识别效果很好，分辨率为百分之七十五，希望您采纳-The program use pca realize fault diagnosis and face recognition, identify good effect, the resolution for the seventy-five percent, which, I hope, you adopted
2
- 本程序利用pca实现故障诊断与人脸识别，识别效果很好，分辨率为百分之六十九，希望您采纳-The program use pca realize fault diagnosis and face recognition, identify good effect, the resolution for the sixty-nine percent, which, I hope, you adopted
2
- 本程序利用pca实现故障诊断与人脸识别，识别效果很好，分辨率为百分之六十三，希望您采纳-The program use pca realize fault diagnosis and face recognition, identify good effect, the resolution for the sixty-three percent, which, I hope, you adopted
2
- 本程序用pca和kpca，实现人脸识别，kpca的效果比较不错，识别率为百分之九十-This program with pca and kpca, realize the face recognition, kpca effect is better, recognition rate is ninety percent
2
- 本程序用pca，kpca,svm,pls,fisher实现cstr和csth过程的故障检诊断，检测率为百分之九十九，故障识别率为百分之九十二-The program use pca, kpca, SVM, PLS, fisher realize CSTR process inspection and CSTH fault diagnosis, detection rate was ninety-nine percent, the fault recognition rate is ninety-
2
- 本程序用pca，kpca,svm,pls,fisher实现cstr和csth过程的故障检诊断，诊断率为百分之九十九，故障识别率为百分之八十六-The program use pca, kpca, SVM, PLS, fisher realize CSTR process inspection and CSTH fault diagnosis, diagnosis rate is ninety-nine percent, and the fault recognition rate is eigh
2
- 本程序用pca，kpca,svm,pls,fisher实现cstr和csth过程的故障检诊断，诊断率为百分之九十九，故障识别率为百分之八十一-The program use pca, kpca, SVM, PLS, fisher realize CSTR process inspection and CSTH fault diagnosis, diagnosis rate is ninety-nine percent, and the fault recognition rate is eigh
2
- 本程序用pca，kpca,svm,pls,fisher，神经网络实现cstr和csth过程的故障检诊断，诊断率为百分之九十九，故障识别率为百分之七十六-The program use pca, kpca, SVM, PLS, fisher, neural networks realize CSTR process inspection and CSTH fault diagnosis, diagnosis rate is ninety-nine percent, and the fault re
2
- 本程序用pca，kpca,svm,pls,fisher，贝叶斯实现cstr和csth过程的故障检诊断，诊断率为百分之九十九，故障识别率为百分之七十-The program use pca, kpca, SVM, PLS, fisher, bayesian realize CSTR and CSTH process for diagnosis fault diagnosis rate is ninety-nine percent, and the fault recognition rate is
2
- 本程序用pca，kpca,svm,pls,fisher，贝叶斯实现cstr和csth过程的故障检诊断，诊断率为百分之九十九，故障识别率为百分之五十九-The program use pca, kpca, SVM, PLS, fisher, bayesian realize CSTR and CSTH process for diagnosis fault diagnosis rate is ninety-nine percent, and the fault recognition rate i
pca
- 自动人脸识别系统具有如图所示的一半框架并完成相应功能的任务。 （1）人脸图像的获取：一般来说，图像的获取都是通过摄像头摄取，氮摄取的图像可以是真人，也可以是人脸的图片或者为了相对简单，可以不考虑通过摄像头来摄取头像，而是直接给定要识别的图像。 （2）人脸的检测：人脸检测的任务是判断静态图像中是否存在人脸。若存在人脸，给出其在图像中的坐标位置，人脸区域大小等信息。而人脸跟踪需要进一步输出所检测到的人脸位置，大小等状态随时间的连续变化情况。 （3）特征提取通过人脸特征点的检测与标定可以确
STC12C5A60S2-PCA-out
- STC12c5a系列单片机可用的2路PCA输出方波的C语言程序！改变部分参数即可使用！-Series of microcontrollers are available in STC12c5a 2-way PCA output square wave C language program! Change some parameters you can use!
2
- 实现PCA和KPCA，fisher对故障的诊断，有很好的效果。-Realize PCA and KPCA, fisher on fault diagnosis, a very good effect.
s10-(2)
- you can implement PCA using this code and facedata. This code describes average face of data.
PCA
- 针对稀疏表示识别方法需要大量样本训练过完备字典且特征冗余度较高的问题，提出了结合过完备字典学习与PCA降维的小样本语音情感识别算法.该方法首先用PCA降维方法将特征降维，再将处理后的特征用于过完备字典训练与稀疏表示识别方法，从而给出了语音情感特征的稀疏表示方法，并确定了新算法的具体步骤.为验证其有效性，在同等特征维数下，将方法与BP, SVM进行比较，并对比、分析语音情感特征稀疏化前后对语音情感识别率、时间效率以及空间效率的影响.试验结果表明，所提出方法的识别率比SVM与BP高 与采用稀疏化前的
CharlesLiSVR1.2
- 支持向量回归机工具箱。自编。带有GUI界面和使用教程。基于PCA降维和遗传算法寻优-Support vector regression toolbox. Self. With a GUI interface and tutorials. PCA dimensionality reduction based and genetic algorithm optimization
PCA-(2)
- PCA algorithm for dimension reduction
LInjie-PCA
- 关于主成分分析方法中T^2统计量和SPE统计量的临界故障检测幅值计算的代码。-On principal component analysis method code T ^ 2 statistic and critical failure detection amplitude SPE statistic calculated.
2-PCA-UART-
- 使用STC15系列单片机模拟双串口。-Use STC15 Series MCU simulation dual serial ports.
PCA.ZIP
- pca学习资料，内含：1、A tutorial on Principal Components Analysis.pdf；2、ExercisePCA.m 3、PCA主成分分析.ppt-PCA learning material， which include 1.A tutorial on Principal Components Analysis.pdf；2.ExercisePCA.m 3.PCA.ppt.