搜索资源列表
KPCAimplementation
- kpca实现，目前kpca最为简介的程序，算法实现简单-kpca implementation, the current most kpca brief introduction of the procedure, the algorithm implementation easy
KPCAandSVM
- KPCA与SVM共同用于人脸识别 SVM提高了分类效果 KPCA是一种借鉴SVM中核函数的一种较好的特征提取方法-KPCA and SVM for face recognition SVM together to improve the classification results from KPCA is a kernel function in SVM a better feature extraction method
kpca
- 主成分分析，人脸识别，模式识别，对图像处理有点帮助-Principal component analysis, face recognition, pattern recognition, image processing for a little help
kpca
- 一种加核的PCA算法，比PCA算法识别率高很多，所加的核可以用于其他算法。-An increase in the PCA algorithm for nuclear than the PCA algorithm is much higher recognition rate, the increase of other algorithms can be used for nuclear.
kpca
- 本程序适用于解决故障检测，数据驱动方面的问题。kpca-This procedure applies to solve the fault detection, data-driven aspects. kpca
kpcaprogram
- 核主元分析程序，本人毕业设计程序，用于降维，监测Te过程故障，误诊断率低。-KPCA program, I graduated from the design process for dimension reduction, monitoring Te process failure, error diagnosis rate is low.
kpca
- 图像压缩的功能，提取图像信息以及最后的图像增强-image enhancement
kpca
- kpca的matlab程序，有比较详细的注释，欢迎大家下载-kpca the matlab program, there are more detailed comments, welcome to download
KPCA
- 在ORL或Yale标准人脸数据库上完成模式识别任务。用PCA与基于核的PCA（KPCA）方法完成人脸图像的重构与识别试验. -Or Yale in the ORL face database, complete the standard pattern recognition tasks. With the PCA and kernel-based PCA (KPCA) method to complete the reconstruction of face image and reco
KPCA
- matlab 源码 KPCA/核PCA 可用于人脸识别-matlab source KPCA/nuclear PCA for Face Recognition
kpca
- 运用KPCA方法在ORL人脸库上进行人脸识别，分类器为最近邻分类器。-KPCA method using ORL face database for face recognition, classification for the nearest neighbor classifier.
KPCA
- 子空间的方法，KPCA matlab程序，可以实现对掌纹图像的特征提取和匹配。-Subspace methods, KPCA matlab program, you can achieve the palmprint image feature extraction and matching.
KPCA-Codes
- 核主元分析的matlab代码，数据是随机产生的，可运行出结果-KPCA matlab code, data is randomly generated, you can run the results
KPCA
- 基于MATLAB的PCA和KPCA的实现，有图，有返回的参数，绝对可以运行！-Based on the PCA and KPCA MATLAB to achieve, there are plans to return to the parameters, the absolute can run!
HMM(matlab函数集)
- hmm的matlab函数包，有需要的可以探讨交流。主要用于故障识别和预测。(HMM matlab function package, there is a need to explore the exchange. Mainly used for fault identification and prediction.)
kpca
- 主成分分析的一种改进算法，是一种非线性的特征提取方法。(An improved algorithm of principal component analysis is a nonlinear feature extraction method)
FNN与PCA和KPCA结合
- 一种特征提取方法：结合主元分析(PCA)和核主元分析（KPCA）的前馈神经网络（FNN）(A feature extraction method: the feedforward neural network (FNN) combined with principal component analysis (PCA) and kernel principal component analysis (KPCA))
matlab核PCA重建原像.part1
- 将KPCA的高维数据在原始空间中完成重构原像(The high dimensional data KPCA to reconstruct the preimage in the original space)
KPCA实现
- 有一个讲解kpca的个PPT，和一个用MATLAB实现的kpca的程序(There is a PPT explaining KPCA and a KPCA program implemented by MATLAB.)
KPCA故障检测
- 基于KPCA的故障诊断matlab代码。包括t^2统计量和q统计量(Fault Diagnosis Matlab Code Based on KPCA)