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» Trajectory retrieval with latent semantic analysis
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ERCIMDL
2005
Springer
305views Education» more  ERCIMDL 2005»
14 years 1 months ago
Focused Crawling Using Latent Semantic Indexing - An Application for Vertical Search Engines
Vertical search engines and web portals are gaining ground over the general-purpose engines due to their limited size and their high precision for the domain they cover. The number...
George Almpanidis, Constantine Kotropoulos, Ioanni...
SDM
2011
SIAM
370views Data Mining» more  SDM 2011»
12 years 10 months ago
Sparse Latent Semantic Analysis
Latent semantic analysis (LSA), as one of the most popular unsupervised dimension reduction tools, has a wide range of applications in text mining and information retrieval. The k...
Xi Chen, Yanjun Qi, Bing Bai, Qihang Lin, Jaime G....
ICMCS
2000
IEEE
79views Multimedia» more  ICMCS 2000»
14 years 7 hour ago
From Features to Semantics: Some Preliminary Results
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 anal...
Rong Zhao, William I. Grosky
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
SIGIR
2006
ACM
14 years 1 months ago
Tensor space model for document analysis
Vector Space Model (VSM) has been at the core of information retrieval for the past decades. VSM considers the documents as vectors in high dimensional space. In such a vector spa...
Deng Cai, Xiaofei He, Jiawei Han