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SDM
2009
SIAM
140views Data Mining» more  SDM 2009»
14 years 5 months ago
Straightforward Feature Selection for Scalable Latent Semantic Indexing.
Latent Semantic Indexing (LSI) has been validated to be effective on many small scale text collections. However, little evidence has shown its effectiveness on unsampled large sca...
Jun Yan, Shuicheng Yan, Ning Liu, Zheng Chen
ICDM
2005
IEEE
188views Data Mining» more  ICDM 2005»
14 years 2 months ago
Hierarchy-Regularized Latent Semantic Indexing
Organizing textual documents into a hierarchical taxonomy is a common practice in knowledge management. Beside textual features, the hierarchical structure of directories reflect...
Yi Huang, Kai Yu, Matthias Schubert, Shipeng Yu, V...
IJCAI
2007
13 years 9 months ago
Supervised Latent Semantic Indexing Using Adaptive Sprinkling
Latent Semantic Indexing (LSI) has been shown to be effective in recovering from synonymy and polysemy in text retrieval applications. However, since LSI ignores class labels of t...
Sutanu Chakraborti, Rahman Mukras, Robert Lothian,...
IKE
2007
13 years 9 months ago
Understanding Latent Semantic Indexing: A Topological Structure Analysis Using Q-Analysis Method
Abstract – The method of latent semantic indexing (LSI) is well known for tackling the synonymy and polysemy problems in information retrieval. However, its performance can be ve...
Dandan Li, Chungping Kwong
CSDA
2008
128views more  CSDA 2008»
13 years 8 months ago
On the equivalence between Non-negative Matrix Factorization and Probabilistic Latent Semantic Indexing
Non-negative Matrix Factorization (NMF) and Probabilistic Latent Semantic Indexing (PLSI) have been successfully applied to document clustering recently. In this paper, we show th...
Chris H. Q. Ding, Tao Li, Wei Peng