搜索资源列表
pcasvm1
- 这是一篇关于PCA/SVM的人脸识别论文并附有我编的源码-This is an paper on PCA/SVM for face recognition papers including my source code
Face-Detection
- 完整的包括皮肤及动作识别的C++人脸检测源代码，涉及的技术有：小波分析，尺度缩减模型（PCA,LDA,ICA），人工神经网络（ANN），支持向量机（SVM），SSE编程，图像处理，直方图均衡，图像滤波，C++编程等。-Complete, including skin and actions identified C++ face detection source code, the technology involved are: wavelet analysis, scaling down m
Yale_5G
- Yale,PCA,SVM,matlab,人脸检测,特征提取,人脸识别.-Yale, PCA, SVM, matlab, face detection, feature extraction, face recognition.
ensembles_pca_svm_new10v
- pca做特征降维，然后进行特征空间随机分割构造多个svm分类器，并行处理，对样本进行分类，基于特征空间的svm多分类器-using pca reduce feature dimension,split feature space and then randomly divided over svm classifier construction, parallel processing, the samples were classified, based on multi-feature sp
matlab-face-detection
- pca+svm 与pca +adaboost 人脸检测，里面包含有程序的详细说明-pca+svm, pca+adaboost people face detection, which contains a detailed descr iption of the program
PCA-SVM
- 利用PCA-SVM的图片降维和识别分类，并分析重建误差等的主程序-The use of PCA-SVM pictures dimensionality reduction and identification and classification, and analyze the main reconstruction error, etc.
code-PCA-SVM
- 这是一个包含PCA降维的matlab程序加上用svm分类的一个程序。-This is a PCA dimensionality reduction plus matlab program contains a program with svm classification.
svm
- svm工具箱，程序与应用实例 scaleForSVM:归一化 pcaForSVM:pca降为预处理 fasticaForSVM:ica降为预处理 等-svm toolbox, procedures and application examples
SVM
- 支持向量机用于训练和分类，包括PCA降维等函数-Support vector machines for training and classification, including functions such as PCA dimension reduction
PCA-BEL(ToolBox1.0)
- 又提供一基于生理的情感神经网络，包含杏仁体，丘脑，视觉神经等重要元素，可用于分类与预测，性能优越于SVM，BP-The use of neural network based on emotional physiology, contains important elements of the amygdala, thalamus, optic nerve, etc., can be used for classification and prediction, superior perform
SVM
- 支持向量机SVM和核函数的MATLAB程序集,用于图形处理的算法，分类算法-pca and svm use MATLAB
PCA-SVM
- 基于PCA和SVM的人脸识别程序，matlab， ORL库-face recognition code Based on PCA and SVM , matlab， ORL face library
SVM--ICA-and-PCA-and-NN
- SVM,ICA,PCA,NN等等模式识别算法,很有参考-SVM, ICA and PCA and NN, and so on pattern recognition algorithm, is of great reference value
PCA-SVM
- 本程序使用MATLAAB R2014a 编写，基于PCA_SVM的人脸识别程序。程序包括主成份分析、SVM核函数，并附带了人脸库，使之能够直接调用人脸库图像进行人脸识别-The program uses MATLAAB R2014a written procedure based on recognition of PCA_SVM. Program includes principal component analysis, SVM kernel function, and comes face
matlab
- matlab 算法整合应用如pca medfilt svm-pca medfilt svm
PCA_gabor_svm
- Gabor小波变换和PCA降维在用SVM分类(Gabor wavelet transform and PCA dimension reduction are classified in SVM)
Attribute profiles
- 选择合适的样本特征点，然后可以将特征导入svm进行分类(After the image processing, the main information is obtained by PCA transform, and then the feature of texture information selection is put forward)
基于主分量的人脸重构
- 本实验是基于主成分分析法（PCA）在人脸识别中的应用，采用SVM分类器在ORL人脸库的基础上通过Matlab实现了快速PCA算法的验证仿真。
face-Adaboost
- 用Adaboost和PCA算法实现人脸识别，用Python写的代码，根据经典的PCA和SVM算法改编(Adaboost and PCA algorithm for face recognition, code written in Python, adapted from the classic PCA and SVM algorithm)
PCA-SVM
- 利用主成份分析 SVM 实现 人脸识别(Using principal component analysis SVM to realize face recognition)