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Description: ICA is used to classify text in extension to the latent semantic indexing framework. ICA show to align the context grouping structure well in a human sense [1], thus can be used for unsupervised classification. The demonstration shows this on medical abstracts (MED dataset), that uses BIC to estimate the number of classes and produces keywords for each class. The icaML algorithm is used.
-ICA is used to classify text in extension to the latent semantic indexing framework. ICA show to align the context grouping structure well in a human sense [1], thus can be used for unsupervised classification. The demonstration shows this on medical abstracts (MED dataset), that uses BIC to estimate the number of classes and produces keywords for each class. The icaML algorithm is used.
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Size: 2496134 |
Author: 海心 |
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Description: plsa-demo, probabilistic Latent Semantic Analysis. A very important code in object recognition
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Size: 3450 |
Author: 纪荣嵘 |
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Description: Probabilistic Latent Semantic Analysis模型实现，用于目标识别或文本识别
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Size: 188605 |
Author: leeyoungae |
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Description: 用于文本语义分析的潜在语义分析算法LSA(Latent Semantic Analysis)，包含详细的函数说明和原理分析
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Size: 184958 |
Author: Tang Ketan |
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Description: fast Gaussian process latent variable model Software (FGPLVM). This toolbox allows for larger GP-LVM models through using the sparse approximations suggested in papers by authors including Titsias, Snelson, Ghahramani, Seeger, and Lawrence
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Size: 13067689 |
Author: 347289298@qq.com |
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Description: ICA is used to classify text in extension to the latent semantic indexing framework. ICA show to align the context grouping structure well in a human sense [1], thus can be used for unsupervised classification. The demonstration shows this on medical abstracts (MED dataset), that uses BIC to estimate the number of classes and produces keywords for each class. The icaML algorithm is used.
-ICA is used to classify text in extension to the latent semantic indexing framework. ICA show to align the context grouping structure well in a human sense [1], thus can be used for unsupervised classification. The demonstration shows this on medical abstracts (MED dataset), that uses BIC to estimate the number of classes and produces keywords for each class. The icaML algorithm is used.
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Size: 2495488 |
Author: 海心 |
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Description: plsa-demo, probabilistic Latent Semantic Analysis. A very important code in object recognition
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Size: 3072 |
Author: 纪荣嵘 |
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Description: 用于文本语义分析的潜在语义分析算法LSA(Latent Semantic Analysis)，包含详细的函数说明和原理分析-Semantic Analysis for Text of Latent Semantic Analysis Algorithm LSA (Latent Semantic Analysis), contains a detailed description and principles of function analysis
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Size: 184320 |
Author: Tang Ketan |
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Description: 根据潜在语义分析进行查询。将文本中的特征集合做LSI变换。-Latent Semantic Analysis in accordance with inquiries. The text of the characteristics of a collection so LSI transformation.
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Size: 39936 |
Author: frank |
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Description: Latent Dirichlet Allocation算法的C++实现-Algorithm for Latent Dirichlet Allocation of C++
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Size: 212992 |
Author: dongyi |
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Description: LDA (latent dirichlet allocation) 的java实现-The java code for LDA (latent dirichlet allocation)
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Size: 60416 |
Author: 张中峰 |
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Description: latent dirichlet allocation C语言实现算法 LINUX 下运行-latent dirichlet allocation the c implementation
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Size: 46080 |
Author: wang |
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Description: 基于PLS的文本分类技术研究，和潜在语义索引联系密切，研究文本分类中特征抽取的重要参考。-PLS-based text classification technology, and closely linked to latent semantic indexing, feature extraction of text classification an important reference.
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Size: 6770688 |
Author: moxibingdao |
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Description: 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.
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Size: 28672 |
Author: liling |
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Description: Latent Dirichlet Allocation程序，基于EM算法。能得到alpha和beta参数-Latent Dirichlet Allocation program, based on the EM algorithm. Alpha and beta parameters can be derived
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Size: 3048448 |
Author: carluss |
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Description: 关于文本的主题提取——LDA（隐狄利克雷分布）算法开山论文。-topic modeling——LDA
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Size: 185344 |
Author: 方晗吟 |
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Description: 一个基于Felzenszwalb的latent svm的目标检测框架-This is an implementation of our object localization system as described in [1]. This system is an adaption of the object detection framework of Felzenszwalb et al. [2][3](http://people.cs.uchicago.edu/~pff/latent-release3/).
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Size: 223232 |
Author: 白芸 |
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Description: 潜在语义分析的PDF资料，介绍了潜在语义分析的相关原理，英文版-Latent Semantic Analysis PDF data on latent semantic analysis principle, English
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Size: 24576 |
Author: meng |
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Description: 推荐算法,Latent Dirichlet Allocation
-recommendation system
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Size: 385024 |
Author: haiou |
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Description: 由文章作者提供的隐式低秩子空间聚类算法。参考文献：Guangcan Liu, Shuicheng Yan. Latent low rank representation [J]. Springer International Publishing, 2014:23-38. -The program is provided by the authors to realize latent low rank subspace clustering. Reference: Guangcan Liu, Shuicheng Yan. Latent low rank representation [J]. Springer International Publishing, 2014:23-38.
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Size: 5120 |
Author: 宋昱 |
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