35 search results - page 1 / 7 » Using Random Indexing to improve Singular Value Decompositio... |
LREC
2008
14 years 10 days ago
2008
We present results from using Random Indexing for Latent Semantic Analysis to handle Singular Value Decomposition tractability issues. We compare Latent Semantic Analysis, Random ...
IBPRIA
2007
Springer
14 years 2 months ago
2007
Springer
Three methods for the efficient downdating, composition and splitting of low rank singular value decompositions are proposed. They are formulated in a closed form, considering the ...
HICSS
2010
IEEE
14 years 28 days ago
2010
IEEE
1 The latent semantic indexing (LSI) methodology for information retrieval applies the singular value decomposition to identify an eigensystem for a large matrix, in which cells re...
SIGKDD
2010
13 years 5 months ago
2010
The aim of latent semantic indexing (LSI) is to uncover the relationships between terms, hidden concepts, and documents. LSI uses the matrix factorization technique known as singu...
DEXA
2006
Springer
14 years 2 months ago
2006
Springer
Abstract. Latent Semantic Indexing(LSI) has been proved to be effective to capture the semantic structure of document collections. It is widely used in content-based text retrieval...