搜索资源列表
pca+lda
- 模式识别PCA+LDA的C++源代码,用于图像的主分量分析-pattern recognition PCA LDA C source code for the image of Principal Component Analysis
lda.rar
- 压缩包中是几款LDA人脸特征识别的程序,和文章,一共是4个程序吧,有MATLAB的还有C++的,Compressed packet is LDA several facial feature recognition procedures, and articles, a total of four procedures you have MATLAB are C++ the
LDA.rar
- LDA的c语言实现,LDA是一个针对文档的分层概率模型。,This is a C implementation of latent Dirichlet allocation (LDA), a model of discrete data . LDA is a hierarchical probabilistic model of documents.
LDA 算法的C++实现
- Latent Dirichlet Allocation算法的C++实现-Algorithm for Latent Dirichlet Allocation of C++
stprtool15aug08
- 捷克理工大学Hlavac教授和Franc博士提供的统计模式识别Matlab工具箱的最新版本V2.09,在原有版本基础上进行了一些修改和完善。它包括现有模式识别的大部分方法,比如SVM,PCA,LDA等。我采用其中的SVM方法进行了人体下肢假肢SEMG信号的分类,效果不错。希望能对大家有帮助。-Statistical Pattern Recognition Toolbox for Matlab (C) 1999-2008, Version 2.09. It includs a number of
featureExtraction
- 该程序包实现了模式识别中的两个特征提取算法,主成分分析PCA和线性判别分析LDA。采用C++语言编写,开发环境VS。 程序包还提供了两个测试样本文件。-The package to achieve the recognition of the two feature extraction algorithm, principal component analysis PCA and linear discriminant analysis LDA. Using C++ language, dev
yuanma
- 对于PCA ,LDA,BIC,EBGM都有很详细的代码。但是需要在LINUX下配置运行。不过代码较有参考价值。-For PCA, LDA, BIC, EBGM have a very detailed code. But the need to configure to run under LINUX. However, a more useful code.
DetectionLibrary
- Chesnokov Yuriy写的人脸检测库,内容涵盖肤色检测、运动估计、SVM分类、PCA/LDA/ICA特征提取以及神经网络分类器等。-The article demonstrates face detection SSE optimized C++ library for color and gray scale data with skin detection, motion estimation for faster processing, small sized SVM and NN
lda-c-dist
- latent dirichlet allocation C语言实现算法 LINUX 下运行-latent dirichlet allocation the c implementation
hlda-c
- This code implements hierarchical LDA with a fixed depth tree and a stick breaking prior on the depth weights. An infinite-depth tree can be approximated by setting the depth to be very high. This code requires that you have installed the GSL p
lda-c-dist
- latent dirichlet allocation论文作者的算法代码,采用纯C实现,在LINUX下运行成功。-latent dirichlet allocation algorithm of the code authors, using pure C implementation, running under the LINUX success.
PCAPLDA
- 对vc平台下图像的处理的一个算法,主要是对图像转换成灰度以后的图像的处理的算法,lda线性分析-Vc platform for image processing of an algorithm is mainly converted into gray scale image after image processing algorithms, lda linear analysis
lda-c-dist
- 在linux下的LDA算法, 用于数据挖掘,可直接编译运行。-In linux the LDA algorithm for data mining, can be directly run the compiler.
lda-c-dist
- 资料为LDA实现过程,包括具体的源文件以及文档材料-this describes the process of LDA programming
lda-c-dist
- lda贝叶斯文本分类器,c语言实现 linux运行环境-lda Bayesian text classifier, c language runtime environment linux
lda-c-dist
- Blei的LDA代码,隐式狄利克雷分配,实现了文档中主题的提取-LDA implementation, machine learning
lda-c-dist(blei)
- David M. Blei 用linux-c编写的lda算法-David M. Blei Written by linux-c lda algorithm
lda-c-dist
- lda的c语言实现代码,lda发明者编写,运行速度比较快-lda c language code, lda inventor of writing, running faster
lda-c-dist
- lda模型的gibbs算法 很好很强大-lda gibbs sampling
lda-c
- LDA是一种文档主题生成模型,也称为一个三层贝叶斯概率模型,包含词、主题和文档三层结构。文档到主题服从Dirichlet分布,主题到词服从多项式分布。 LDA是一种非监督机器学习技术,可以用来识别大规模文档集(document collection)或语料库(corpus)中潜藏的主题信息。它采用了词袋(bag of words)的方法,这种方法将每一篇文档视为一个词频向量,从而将文本信息转化为了易于建模的数字信息。但是词袋方法没有考虑词与词之间的顺序,这简化了问题的复杂性,同时也为