搜索资源列表
PCA-SIFT
- PCA-SIFT算法的实现，PCA-SIFT是对SIFT算法的改进，用PCA替代SIFT算法中的第四步，提高了效率，且准确率更高-PCA-SIFT algorithm implementation, PCA-SIFT SIFT algorithm is an improved SIFT algorithm with PCA instead of the fourth step, improve efficiency, and higher accuracy
PCA-SVM
- 在PYTHON里面，采用LIBSVM，实现对TE数据的多类故障的分类。-In PYTHON inside, using LIBSVM, TE data to realize the classification of many types of failures.
pca-sift
- pca-sift算法的实现，采用vc2008开发环境，进行开发，独立运行-pca-sift algorithm, using vc2008 development environment to develop, operate independently
PCA
- Adaboost实现人脸检测，这个很好用，速度快，准确-Adaboost face detection to achieve this good use, fast, accurate
PCA
- 主分量分析方法的应用越来越多，它是怎样实现的呢？本代码就是其实现过程。-Principal component analysis method, more and more how it is achieved it? This code is the implementation process.
PCA-Face-Recognition
- 一个用PCA算法实现的人脸识别小程序，备注详细，有利于学习。-a PCA althology to recognize faces
pca
- 使用MATLAB开发环境，来 实现人脸识别-fase recognition
pca
- PCA主元分析后用神经网络预测，A/S含量，PCA算法实现，与神经网络-PCA principal component analysis using neural network prediction, A/S content, PCA algorithm, and neural network
PCA
- 主成分分析法能较好地实现图像融合，特别是空间特征保持非常好，但光谱特征的保持性要差一些。-Principal Component Analysis to achieve a better image fusion, in particular, to maintain a very good spatial characteristics, but to maintain the spectral characteristics of some worse.
pca-svm
- pca的matlab实现,very good-achievement of pca with matlab
PCA
- 基于PCA改进实现人脸识别的完整代码,采用ORL人脸库进行训练和测试.-Face Recognition Based on the PCA to improve the achievement of a complete code, ORL face database used for training and testing.
PCA
- 利用matlab实现主成分分析！结构清晰！pca based on matlab-pca based on matlab
PCA
- 主成分分析代码，用matlab实现的，请大家参阅。-Principal component analysis code, matlab implementation, please refer to the.
pca
- 用MATLAB实现了基于pca的特征提取方法，有效地完成了识别，是识别的经典例子-Pca-based implementation using MATLAB feature extraction methods, efficient completion of the identification is to identify the classic example of
pca
- 主元素分析源程序代码，实现主元素分析的完整代码-Principal component analysis source code to achieve the complete code for principal component analysis
PCA
- 用Matlab实现主成分分析（PCA)算法.-Principal component analysis using Matlab implementation (PCA) algorithm.
pca
- 在spm支持下，对于图像矩阵实现pca主成分分析的程序。经检查正确-In spm support for image matrix to achieve pca principal component analysis procedure. After checking the correct
PCA
- 实现好的基于PCA的人脸识别系统，程序非常有参考价值，MATLAB编写，内附使用说明。-To achieve a good face recognition system based on PCA, the program very useful, MATLAB written instructions included.
pca
- 主成分分析法（pca）在matlab上的实现-pca in matlab
pca
- 本程序基于MATLAB仿真工具实现主分量分析-The program is based on MATLAB simulation tools principal component analysis