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work
- 基于遗传算法和bp网络的简单人脸识别，只能识别三种表情。图像经过简单的小波变换处理-Bp networks based on genetic algorithm and a simple face recognition, could only identify three kinds of expressions. After a simple wavelet transform image processing
2DLDAwiththeSVM-basedfacerecognitionalgorithm
- 二维线性鉴别分析(2DLDA)算法能有效解决线性鉴别分析(LDA)算法的“小样本”效应，支持向量机 (SVM)具有结构风险最小化的特点，将两者结合起来用于人脸识别。首先，利用小波变换获取人脸图像的低频分量，忽 略高频分量：然后，用2DLDA算法提取人脸图像低频分量的线性鉴别特征，用“一对多”的SVM 多类分类算法完成人脸 识别。基于ORL人脸数据库和Yale人脸数据库的实验结果验证了2DLDA+SVM算法应用于人脸识别的有效性。-”Small sample size”problem
Face_recognition
- 提出了利用小波变换和余弦变换与BP神经网络相结合的人脸识别方法-Using the wavelet transform and cosine transform and BP neural network face recognition combining
siugui
- 计算一维光子晶体的透射特性和反射特性，Gabor小波变换与PCA的人脸识别代码，保证准确无误，是学习通信的好帮手。 - Calculated transmission characteristics and reflection characteristics of the one-dimensional photonic crystals, Gabor wavelet transform and PCA face recognition code, Ensure accurate comm
funpiuhui
- 是学习PCA特征提取的很好的学习资料，数据模型归一化，模态振动，Gabor小波变换与PCA的人脸识别代码。- Is a good learning materials to learn PCA feature extraction, Normalized data model, modal vibration, Gabor wavelet transform and PCA face recognition code.
1804
- 多机电力系统仿真及其潮流计算，Gabor小波变换与PCA的人脸识别代码，主要为数据分析和统计。- Multi-machine power system simulation and flow calculation, Gabor wavelet transform and PCA face recognition code, Mainly for data analysis and statistics.
ban_ku64
- STM32制作的MP3的全部资料，采用的是通用的平面波展开法,Gabor小波变换与PCA的人脸识别代码。- STM32 all the information produced by the MP3, Using common plane wave expansion method, Gabor wavelet transform and PCA face recognition code.