搜索资源列表
LDA
- 一个LDA的算法,可以实现对实现基于LDA的人脸识别-An LDA algorithm, can achieve the realization of Face Recognition Based on LDA
lda
- This code is LDA base face recognition programme. It reads nots faces from ORL database a
LDA
- 关于LDA算法在人脸识别应用中的研讨及比较-About LDA application on face detec
2D-LDA
- 2D-LDA, used for classification.
2D-LDA
- 2d-lda的一些matlab算法,此法效率较高,值得学习学习哈-2d-lda some matlab algorithm, this method is more efficient, should learn from Kazakhstan
pca-lda
- face recognitionand detection by lda,pca
LDA-face-recognition
- 使用基于LDA算法的人脸识别程序(附有相应的论文)-LDA based face recognition program(papers included)
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
- 有几类样本点,试利用LDA分类器、求出其分界面,并分析这类分类器的特点。-There are several types of sample points, try using Fisher classifier, find the sub-interface, and analyze the characteristics of such classification.
Labeled-LDA-model-text-classify
- 基于Labeled-LDA模型的文本分类新算法-Labeled-LDA model based on the new algorithm for text categorization
LDA
- LDA for face recognation matlab code
LDA
- LDA matlab code 线性判别式分析(Linear Discriminant Analysis, LDA),也叫做Fisher 线性判别 (Fisher Linear Discriminant ,FLD),是模式识别的经典算法,它是在1996 年由Belhumeur 引入模式识别和人工智能领域的。性鉴别分析的基本思想是将高维的模式样本投影到最佳鉴 别矢量空间,以达到抽取分类信息和压缩特征空间维数的效果,投影后保证模式样本在新的 子空间有最大的类间距离和最小的类内距离,即模式在该空间中有
用PCA(非工具包,自写)实现LDA
- 上了一门统计分析的课程,所有课程所学内容均不允许使用工具包,特自写PCA,实现LDA线性分类,希望可以与大家分享,一起学习参考,
gait recognition with DTW PCA LDA
- code for gait recognition with DTW PCA LDA matlab
LDA算法实现人脸识别
- 自己撰写的LDA算法实现简单的人脸识别,用ORL库来做测试。
LDA
- Basic code for LDA understanding
LDA
- 性判别式分析(Linear Discriminant Analysis, LDA),也叫做 Fisher 线性判别 (FisherLinear Discriminant,FLD), 是模式识别的经典算法(Linear Discriminant Analysis)
K-LDA
- 经典kernel LDA算法,可用于人脸识别算法,很好用(Classic kernel LDA algorithm, can be used for face recognition algorithm, very good use)
lda-develop
- lda 文本主题模型的python 代码 很实用(lda topic document code very efficient and useful)
python-LDA-master
- linux下lda的实现,具体说明内附文件,使用方便(LDA detailed descr iption of the attached file, easy to use, fast hand, use only to replace the source file can be used)