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» Essential Dimensions of Latent Semantic Indexing (LSI)
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ASWEC
2008
IEEE
13 years 9 months ago
Root Cause Analysis Using Sequence Alignment and Latent Semantic Indexing
Automatic identification of software faults has enormous practical significance. This requires characterizing program execution behavior. Equally important is the aspect of diagno...
R. P. Jagadeesh Chandra Bose, U. Suresh
CLA
2004
13 years 8 months ago
Concept Lattice Generation by Singular Value Decomposition
Abstract. Latent semantic indexing (LSI) is an application of numerical method called singular value decomposition (SVD), which discovers latent semantic in documents by creating c...
Petr Gajdos, Pavel Moravec, Václav Sn&aacut...
CIKM
2010
Springer
13 years 6 months ago
Hypergraph-based multilevel matrix approximation for text information retrieval
In Latent Semantic Indexing (LSI), a collection of documents is often pre-processed to form a sparse term-document matrix, followed by a computation of a low-rank approximation to...
Haw-ren Fang, Yousef Saad
SIGIR
2005
ACM
14 years 1 months ago
Multi-label informed latent semantic indexing
Latent semantic indexing (LSI) is a well-known unsupervised approach for dimensionality reduction in information retrieval. However if the output information (i.e. category labels...
Kai Yu, Shipeng Yu, Volker Tresp
PR
2002
140views more  PR 2002»
13 years 7 months ago
Negotiating the semantic gap: from feature maps to semantic landscapes
In this paper, we present the results of a project that seeks to transform low-level features to a higher level of meaning. This project concerns a technique, latent semantic inde...
Rong Zhao, William I. Grosky