搜索资源列表
pca降维算法
- pca降维算法,试验已经成功,将39维数据降到12维(PCA dimensionality reduction algorithm, the test has been successful, the 39 dimensional data down to 12 dimensions)
人脸识别
- 利用PCA算法实现一个简单的人脸识别功能,测试集和训练集一共40张照片,可以自己再增加。(use PCA algorithm to realize face recognition function)
主成分分析PCA
- 用PCA算法对iris数据集进行主成分分析(The PCA algorithm is used to analyze the iris data set)
pca降维
- pca数据降维算法,很好的解决数据灾难的问题。(PCA data dimensionality reduction algorithm, a good solution to the problem of data disaster.)
一种基于改进BP神经网络的PCA人脸识别算法_李康顺
- 一种基于改进BP神经网络的PCA人脸识别算法(An improved BP neural network PCA algorithm for face recognition)
PCA-SVM-master
- PCA/SVM算法实现图像分类,分类准确率可到达90%(Image classification by PCA/SVM algorithm)
PCA
- 非常经典的特征提取算法,经常用来做降维方法,但是也可以直接用来做特征提取,很适合图像处理入门,在人脸识别也经常用到(Very classic feature extraction algorithm, often used to do dimensionality reduction methods, but can also be used directly to do feature extraction, it is suitable for image processing, in fa
pca
- 深度学习中的PCA,和白化算法,对深度学习非常有帮助(PCA in deep learning, and albino algorithm, are very helpful for deep learning)
pca_face_rec
- 这是一个用PCA算法实现的人脸识别,解压压缩包,直接运行即可(This is a face recognition using PCA algorithm, decompression compression package, direct operation can)
pca
- A face recognition algorithm of pca using java code
face-KNN
- 用PCA算法和KNN算法实现人脸识别,参数可以自己调整(The PCA algorithm and the KNN algorithm are used to realize the face recognition, and the parameters can be adjusted by themselves)
face-Bayes-GaussianNB
- 用贝叶斯中的高斯类库实现人脸识别,结合PCA算法实现(Face recognition using the Gauss class library in Bayes, combined with PCA algorithm)
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)
PCAmnist
- 经典PCA降维算法,通过最大方差提取特征(Classical PCA algorithm)
PCA
- 基于主成分分析的遥感图像融合算法,融合结果质量较好。(The fusion algorithm of remote sensing image based on principal component analysis has better fusion result.)
PCA_classifier_version1b
- 许多图像问题需要某种物体的检测,其中图像之间的物体的外观有自然的变化。 如人脸识别,病变检测,神经通道分割。 这些图像问题可以通过手动注释图像对象来解决,以训练识别正常物体外观的模型。 这可以通过基于PCA的最大似然分类器来完成。(PCA algorithm suitable for detection / recognition of 2D image "objects")
PCA based on Face Recognition
- 主要实现的是基于PCA的人脸识别算法 Matlab代码(PCA-based face recognition algorithm)
PCAalgorithm
- PCA算法实现人脸识别,matlab代码实现。(PCA algorithm for face recognition)
PCA+GUI人脸识别
- 基于PCA主成分分析算法和Yale人脸数据库,采用Matlab语言实现的人脸识别程序,整个程序分为预处理、训练、识别、GUI界面控制等几个模块,注释清晰,通俗易懂。(Based on PCA principal component analysis algorithm and Yale face database, the face recognition program is implemented in Matlab language. The whole program is divide
palmprint recognition
- 这是一个简单的掌纹识别系统,运用了PCA算法,可以做到较快的运算。(This is a simple palmprint recognition system that uses the PCA algorithm to achieve faster calculations.)