搜索资源列表
plsa
- Probabilistic Latent Semantic Analysis模型实现,用于目标识别或文本识别
FeiFeiLi_phD_thesis_2005
- Visual Recognition: Computational Models and Human Psychophysics PhD thesis. 加州理工李菲菲的博士学位论文。 主要内容包括基于分类的目标识别研究: 1、costellation model 2、pLSA/LDA model 的目标识别研究。
PLSA
- PLSA源码,并附有PLSA理论在图像自动标注中的应用,有几篇具有代表性的论文,论文中讨论了PLSA的改进并应用在图像处理中。-PLSA source code, with PLSA theory in automatic image annotation application, some of the representative papers, thesis discusses the PLSA improvement and application in image processing
plsa
- 该matlab代码实现了plsa算法。plsa全称是概率隐语义分析,是一个非常重要的隐语义分析模型。-This matlab code implements plsa algorithm, which is the short of probability latent semantic analysis and is a very important latent semantic analysis model.
plsa
- 概率潜在语义分析Probabilistic Latent semantic alnalysis,完整程序包-Probabilistic Latent Semantic Analysis Probabilistic Latent semantic alnalysis, complete package
t_berg_graphicalmodels
- 关于PLSA的一个非常好英文的PPT,介绍了图像检索和分类的基本过程。-On the PLSA a very good English, PPT, introduced the basic image retrieval and classification process.
pLSA_demo
- matlab写的plsa 的demo例程。 -matlab routines written plsa the demo.
pLSA
- 用于文本分析和分类的pLSA(Probability Latent Semantic Analysis)的Matlab算法,含有测试数据及算法原理介绍。也可用于图像分析。相比原来的版本,增加了示例程序demo.m,以实现可视化效果,用户更容易使用和理解pLSA算法。-For text analysis and classification of pLSA (Probability Latent Semantic Analysis) of the Matlab algorithm with tes
plsa
- 给与plsa模型开发 本源码是利用视觉仿生学成果进行目标识别的最新成果。c1 c2特征是MIT的Poggio教授的研究小组根据人眼视觉仿生的研究成果提出的特征。运用该特征对自然图像中的目标识别取得了较好的效果。本压缩包为提取C1 C2特征的Matlab源码。C1 C2特征的详细说明参见IEEE PAMI 2007上的文献 -This imports VIBES functionaility into Matlab and needs to be done once per session
EM
- PLSA中的核心算法,对于做模式识别方面的特别有用。-is very useful for patten recongniao ,is good for you study
plsa.tar
- PLSA,概率潜在语义算法,用于寻找变量之间的隐隐含变量,常用于图像标注、图像检索、计算机文本检索-PLSA, probabilistic latent semantic algorithm for finding faint containing variables between variables, commonly used in image annotation, image retri , computer text retri