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lda-0.1(Daichi).tar
- LDA（latent dirichlet analysis）DaiChi的算法实现，比原作者的代码更好理解-LDA (latent dirichlet analysis) DaiChi the algorithm, a better understanding of the code than the original author
KERNEL-LDA
- Kernel Discriminant Analysis a kernel extension of Linear Discriminant Analysis technique which is a well-known feature extraction technique.-Kernel Discriminant Analysis is a kernel extension of Linear Discriminant Analysis technique which is a well
LDA-Code
- 主要是LDA 包的程序 其中有KL，EM算法和一些推论-The program is mainly LDA package including KL, EM algorithm, and some inferences
Tone-Via-LDA
- 通过LAD方法，进行有效的声调识别，汉语是一种有声调的语音，声调识别对汉语言的语音识别的意义很大-By the LAD method, effective tone recognition, Chinese is a kind tone of voice, tone recognition of Chinese language voice recognition is quite significant
face-recognition
- 用于人脸识别的LDA和PCA特征提取方法的Matlab代码，结合两个程序可以实现PCA+LDA特征提取方法。-LDA and PCA is a common methods of feature selection,These are their source code using matlab.
my_pcalda
- 关于人脸识别的PCA-LDA算法，可成功运行。-a useful program, can be run successfully!
FeatureExtract
- svd with LDA face recognition feature extraction
LDA
- 基本思想是选择使得Fisher准则函数达到极值的向量作为最佳投影方向，从而使得样本在该方向上投影后，达到最大的类间离散度和最小的类内离散度。-Linear Discriminant Analysis (Generally, LDA can also use LGE as a subroutine. However, we can use the special graph structure of LDA to obtain some computational benefits.)
lda-0.1-matlab
- LDA的的程序代码 程序可以自动的运行时调试好的程序-LDA process
PCA-LDA
- it is PCA-LDA matlab code. (feature reduction)
LDA-introduction
- LDA文本分类技术综述，对LDA进行了全面细致的概述，适合文本分类初学者-Review of the LDA text classification techniques, LDA comprehensive and detailed overview, suitable for text classification beginners
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
- 潜在狄利克雷分析(LDA)的matlab代码，实现对语义主题的分布估计，附有相应的使用说明文件，使用简单，效果不错。-Matlab code of potential Dirichlet Analysis (LDA) , the distribution of estimates of the semantic theme , accompanied by the appropriate use of documentation , easy to use , good results.
LDA
- LDA人脸识别，它是一种很好的人脸识别算法，运用得十分广泛，我们可以用它去解决很多问题。它是运用最为广泛的方法！-LDA-based face recognition algorithm
lda
- 聚类,把文件库聚类，得到所需的资料，LDA模型的代码-put things corpus together
lda
- 可以直接集成到VS2010内使用的LDA(Latent Dirichlet Allocation)源码。 集成方法参考 http://www.cnblogs.com/freedomshe/archive/2012/04/28/2475519.html-Can be directly integrated to VS2010 as the LDA (Latent Dirichlet Allocation) source. Integrated Approach to Reference
lda
- 线性判别法（LDA），用来降维的，找了好久了，很好用-Linear discriminant method (LDA), used to dimensional reduction, for a long time, very good
LDA
- 线性判别分析法源代码,LDA算法，输出分类结果-Linear discriminant analysis method source code, to output the classification results
2D-LDA
- LDA是一种线性降维方法，对原有的高维人脸数据集降维，然后识别，具有很好的聚类和识别效果。有详细的说明-LDA is a linear dimensionality reduction method, the original high-dimensional face data set dimensionality reduction, and then identify clustering and identification. Described in detail
[15---2011]---A-new-Rearrange-Modular-2D-LDA-for-
- This document describes the new approach of 2d-lda for face recognition.