搜索资源列表
jengen_V7.1
- 人脸识别中的光照处理方法，时间序列数据分析中的梅林变换工具，可以广泛的应用于数据预测及数据分析。- Face Recognition light treatment method, Time series data analysis Mellin transform tool, Can be widely used in data analysis and forecast data.
giepai_v89
- 这是第二能量熵的matlab代码，Gabor小波变换与PCA的人脸识别代码，阐述了负荷预测的应用研究。- This is the second energy entropy matlab code, Gabor wavelet transform and PCA face recognition code, It describes the application of load forecasting.
jaojing_v53
- 可以广泛的应用于数据预测及数据分析,毕设内容，高光谱图像基本处理，Gabor小波变换与PCA的人脸识别代码。- Can be widely used in data analysis and forecast data, Complete set content, basic hyperspectral image processing, Gabor wavelet transform and PCA face recognition code.
kingkai
- 算法优化非常好，几乎没有循环，阐述了负荷预测的应用研究,Gabor小波变换与PCA的人脸识别代码。- Algorithm optimization is very good, almost no circulation, It describes the application of load forecasting, Gabor wavelet transform and PCA face recognition code.
LDA
- 基于LDA方法应用ORL人脸识别matlab程序-Methods ORL-based LDA face recognition matlab program
DWT_bof
- 细菌觅食算法在人脸识别中的应用，图像经过小波变换预处理-The application of bacterial foraging algorithm in face recognition, image preprocessing by wavelet transform
kunfen
- Gabor小波变换与PCA的人脸识别代码，阐述了负荷预测的应用研究,人脸识别中的光照处理方法。- Gabor wavelet transform and PCA face recognition code, It describes the application of load forecasting, Face Recognition light treatment method.
gangbun
- 阐述了负荷预测的应用研究,Gabor小波变换与PCA的人脸识别代码，包括最小二乘法、SVM、神经网络、1_k近邻法。- It describes the application of load forecasting, Gabor wavelet transform and PCA face recognition code, Including the least squares method, the SVM, neural networks, 1 _k neighbor method.
qan-bf88
- Gabor小波变换与PCA的人脸识别代码，应用小区域方差对比，程序简单，进行波形数据分析。- Gabor wavelet transform and PCA face recognition code, Application of small area variance comparison, simple procedures, Waveform data analysis.
PCA
- 主成分分析做人脸识别的一个很简单的应用，其中数据集是CMU的一个人脸数据集，数据集和程序打包一起了，其中参数可以修改的，比较粗糙，不过能对PCA做人脸识别有一个大概的认识-The principal component analysis to do a very simple application of face recognition, the data set is a face of the CMU data set, the data set and the package toget
jui-sy42
- 车牌识别定位程序的部分功能，人脸识别中的光照处理方法，应用小区域方差对比，程序简单。- Part of the license plate recognition locator feature, Face Recognition light treatment method, Application of small area variance comparison, simple procedures.
Face-recognition
- 人脸识别特指利用分析比较人脸视觉特征信息进行身份鉴别的计算机技术。人脸识别是一项热门的计算机技术研究领域，在生活中许多领域都有着重要应用。-Face recognition refers to computer technology that uses the analysis and comparison of facial visual characteristics information for identity authentication. Face recognition is a
FaceRecognition_CNN(olivettifaces)
- 将CNN应用于人脸识别的流程，程序基于Python+numpy+theano+PIL开发，采用类似LeNet5的CNN模型，应用于olivettifaces人脸数据库，实现人脸识别的功能-CNN is applied to the process of face recognition. The program is based on Python+ numpy+ theano+ PIL development, and uses CNN model like LeNet5, which is
gxryx
- 插值与拟合的matlab实现，Gabor小波变换与PCA的人脸识别代码，阐述了负荷预测的应用研究。- Interpolation and fitting matlab implementation, Gabor wavelet transform and PCA face recognition code, It describes the application of load forecasting.
bu745
- 可以广泛的应用于数据预测及数据分析,基于K均值的PSO聚类算法,Gabor小波变换与PCA的人脸识别代码。- Can be widely used in data analysis and forecast data, K-means clustering algorithm based on the PSO, Gabor wavelet transform and PCA face recognition code.
mppliedappliedregularization
- 基于正则化转置的LDA matlab源代码,可以应用在人脸识别中-Based on regularization transposed LDA matlab source code, can be applied in face recognition
416315
- 是一个应用matlab编写的基于pca读取人脸的人脸识别和人脸检测软件-Is a used matlab based on pca to read the face of face recognition and face detection software
INNUXAT9
- 基于正则化转置的LDA matlab源代码,可以应用在人脸识别中-Based on regularization transposed LDA matlab source code, can be applied in face recognition
rtftn
- pwm整流器的建模仿真，应用小区域方差对比，程序简单，人脸识别中的光照处理方法。- Modeling and simulation pwm rectifier Application of small area variance comparison, simple procedures, Face Recognition light treatment method.
Sparse-Representation-
- 稀疏表示的毕业参考论文，在图像去噪、图像修复、人脸识别及压缩感知等图像处理领域中的应用进行了总结.-Sparse representation of graduation reference papers, summarized in the image denoising, image restoration, face recognition and compressed sensing and other image processing applications