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» A framework for understanding Latent Semantic Indexing (LSI)...
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SIGIR
1999
ACM
13 years 9 months ago
Probabilistic Latent Semantic Indexing
Probabilistic Latent Semantic Indexing is a novel approach to automated document indexing which is based on a statistical latent class model for factor analysis of count data. Fit...
Thomas Hofmann
IJCAI
2007
13 years 6 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,...
ECAL
2001
Springer
13 years 9 months ago
The Use of Latent Semantic Indexing to Identify Evolutionary Trajectories in Behaviour Space
This paper describes the simulation of a foraging agent in an environment with a simple ecological structure, alternatively using one of three different control systems with varyi...
Ian R. Edmonds
SIGIR
2004
ACM
13 years 10 months ago
Locality preserving indexing for document representation
Document representation and indexing is a key problem for document analysis and processing, such as clustering, classification and retrieval. Conventionally, Latent Semantic Index...
Xiaofei He, Deng Cai, Haifeng Liu, Wei-Ying Ma
CIKM
2010
Springer
13 years 3 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