搜索资源列表
ResearchOfFaceRecognitionBasedOnWaveletTransformat
- 本文介绍的是小波变换在人脸识别当中应用，是篇硕士论文，介绍了多种小波人脸识别算法，有基于离散小波的人脸检测与特征定位算法，基于小波变换的PCA人脸识别算法，基于小波变换和人工神经网络的人脸识别算法，基于小波变换和支持向量机的人脸识别算法，内容全面，具有很高的参考学习价值。
ResearchandRealizationinFaceDetection
- 一篇有关人脸检测的博士论文，提出了一种改进的pca特征提取方法，综合运用小波和离散余弦法对的支持向量机对人脸进行检测
PCA
- 人脸识别，从图像中检测人脸。该程序运算速度快，准确度高。
PCA
- 用C8051F单片机的PCA模块的上升沿捕捉功能实现方波信号的频率检测-PCA Module C8051F MCU with the rising edge of the square wave signal capture function to achieve the frequency of detection
PCA
- 基于PCA的故障检测，有实验数据和仿真程序，效果不错。-PCA-based fault detection, experimental data and simulation program, to good effect.
Fault1_PCA
- 利用主成分分析方法，对TE模型产生的故障数据故障1进行故障检测-Using principal component analysis, on the TE model failure data generated by a fault detection fault
aa
- 该程序是使用PCA检测车辆的一个经典程序-The program is the use of PCA as a classic vehicle testing procedures
Ppcaa_lda_sttr
- 实用可能的主成分分析(PCA)与线线性判别分析(LDA)，训练与检测， -The utility may be the principal component analysis (PCA) and the line of linear discriminant analysis (LDA), training and testing,
Teiggenfacessh
- 本程序源码使用一种基于特征脸的人脸检测方法法，应用PCA技术进行人脸识别 可直接使用。 -The program source code using a face detection method based on features of the face, the application of PCA technology, face recognition can be used directly.
UPCAA_faceRees
- 用Visual C++实现的人脸识别Demo程序源码。Adabooost实现人脸检测，PCA特征提取。 -Face Recognition Demo Visual C++ achieve program source code. Adabooost face detection, PCA feature extraction.
ChangeDetectionPCAkMeans
- 用于变化检测的方法，是基于PCA+k-means算法实现的-Used for change detection method, is based on PCA+ k- means to implement the algorithm
PCA-Classification.net
- 采用pca的方法，对样本进行分类。在实际中pca算法一般用于检测样本的相似度-Using pca method to classify the samples. In practice pca algorithm is generally used to detect the similarity of samples
1
- MATLAB实现的人脸检测程序 （PCA）方法，内附有详细注释-MATLAB implementation of face detection (PCA) method, enclosed is the detailed comments
HRPCA
- 能够检测异常值 数据降维 特征提取 鲁棒主成分分析方法-Robust PCA
PCA
- 基于标准人脸苦的人脸识别的检测方法的部分程序-Part of the program based on standard face detection method bitter face recognition
PCA
- 实现基于PCA变换的故障信号检测，可以区分正常信号和故障信号。-Realize the fault signal detection based on PCA transform, can distinguish between normal signal and fault signal.
PCA-matlab
- PCA-SIFT算子 训练一些图片模型 并对其进行检测-PCA-SIFT operator training some pictures of the model and its detection
PCA_model
- 用于TE模型的故障数据检测，使用pca主元分析法，- TE model by using pca detection
fei-fp33
- 有循环检测，周期性检测，借鉴了主成分分析算法（PCA），自写曲率计算函数 。- There are cycle detection, periodic testing, It draws on principal component analysis algorithm (PCA), Since writing the curvature calculation function.
dPCA-master
- matlab实现动态PCA故障检测，matlab2018下可以运行(Dynamic PCA fault detection is realized by matlab, which can run under Matlab 2018)