搜索资源列表
SSDRnanjin
- SSDA，又名半监督Fisher分析。对模式识别十分重要的作用，有着其独特的优势，对人脸识别有着很好的演示作用。-SSDA, also known as a semi-supervised Fisher analysis. For pattern recognition is an important role, has its unique advantages, has a very good demonstration effect on face recognition.
fisherclasify
- 使用fisher准则进行模式分类，代码简单易懂，可作fisher分类器入门参考-Use fisher criterion for pattern classification, simple code to understand, can be used as introductions fisher classifier
kernel
- 核函数的实现，核分析 和核主成份分析，核Fisher判别 的matlab实现-Nuclear function, nuclear analysis and kernel principal component analysis, kernel Fisher matlab implementation
fisher_classifier.m
- fisher linear discriminant
FISHER_2
- 利用fisher判别和核fisher判别对数据进行，分类，主要是针对两类的分类-The use of nuclear fisher fisher discriminant and discriminant data, classification, mainly for two types of classification
var_cvar
- 使用历史模拟法、正态分布法、cornish-fisher展开式法求VaR和CVaR-Apply HS\Normal\cornish-fisher methods to calculate VaR and CVaR
fisher
- this characteristic code for underwater wireless sensor networks-this is characteristic code for underwater wireless sensor networks
FDDL
- ICCV paper 《Fisher Discrimination Dictionary Learning for Sparse Representation 》 源码-ICCV paper 《Fisher Discrimination Dictionary Learning for Sparse Representation 》 CODE and pdf
2012011539_homework2
- 模式识别中基于监督的分类方法。贝叶斯、fisher线性判别-Supervised classification method based on pattern recognition. Bayes, fisher linear discriminant
fisher
- 人脸识别，分类SVM，对图片进行训练，标签，识别。-Face recognition, classification SVM
moshishibie
- 基于matlab的模式识别基础实例源代码，包括贝叶斯分类器，Fisher线性判别，主成分分析，k均值聚类等。-Based on pattern recognition based matlab examples of source code, including Bayesian classifier, Fisher linear discriminant analysis, principal component analysis, k-means clustering.
Pedagadi_Local_Fisher_Discriminant_2013_CVPR_pape
- local fisher for person reidentification
KFDA
- 研究基于步态的身份识别技术,并在步态特征提取和身份识 别等方面做了一些简单的尝试和探索。本文提出了一种基于核函数的Fisher判别分析(KFDA)进行步态识别.-In training process,we use kernel-based Fisher Discrimination Analysis(KFDA) method to train the input sample vectors.The method has been used in face recognition an
pcaFISHER
- pca加fisher 人脸识别代码 matlab 基于orl人脸数据库上运行-pca+fisher face recognization based on orl face
PCA_based-Face-Recognition-System
- Fisher Face recognitionn using PCA
fsFisher
- Fisher Score,基于Fisher Score算法的程序。可用于特征选取-Fisher Score, program based on Fisher Score,can be used in feature selections
FaceRecognition-master
- Face recognition written in MATLAB. This code implements Fisher s Discriminant Analysis and SVMs using LIBSVM.-The motivation of this project is to implement several techniques for face recognition: Principal Component Analysis Fisher’s Linear
fisher
- 基于LDA和KNN的人脸识别MATLAB程序-Face recognition KNN program based on LDA and MATLAB
KFDA
- 学姐做地理学研究时用的核Fisher判别分析的代码-Sister doing geography research time by the kernel Fisher discriminant analysis codes
LDFV
- VLAD VLAD可以理解为是BOF和fisher vector的折中 BOF是把特征点做kmeans聚类，然后用离特征点最近的一个聚类中心去代替该特征点，损失较多信息； Fisher vector是对特征点用GMM建模，GMM实际上也是一种聚类，只不过它是考虑了特征点到每个聚类中心的距离，也就是用所有聚类中心的线性组合去表示该特征点，在GMM建模的过程中也有损失信息； VLAD像BOF那样，只考虑离特征点最近的聚类中心，VLAD保存了每个特征点到离它最近的聚类中心的距离；