298 search results - page 5 / 60 » Sparse Latent Semantic Analysis |
104
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ACL
2010
14 years 7 months ago
2010
Probabilistic latent topic models have recently enjoyed much success in extracting and analyzing latent topics in text in an unsupervised way. One common deficiency of existing to...
100
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JOI
2010
14 years 8 months ago
2010
Latent Semantic Analysis (LSA) is a relatively new research tool with a wide range of applications in different fields ranging from discourse analysis to cognitive science, from i...
ACL
2004
14 years 11 months ago
2004
We discuss Feature Latent Semantic Analysis (FLSA), an extension to Latent Semantic Analysis (LSA). LSA is a statistical method that is ordinarily trained on words only; FLSA adds...
ICIP
2004
IEEE
15 years 11 months ago
2004
IEEE
The work presented in this paper aims at reducing the semantic gap between low level video features and semantic video objects. The proposed method for finding associations betwee...
DATESO
2004
14 years 11 months ago
2004
Large sparse matrices play important role in many modern information retrieval methods. These methods, such as clustering, latent semantic indexing, performs huge number of computa...