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» Latent Semantic Indexing: A Probabilistic Analysis
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ICDM
2007
IEEE
184views Data Mining» more  ICDM 2007»
14 years 2 months ago
Bayesian Folding-In with Dirichlet Kernels for PLSI
Probabilistic latent semantic indexing (PLSI) represents documents of a collection as mixture proportions of latent topics, which are learned from the collection by an expectation...
Alexander Hinneburg, Hans-Henning Gabriel, Andr&eg...
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
DL
2000
Springer
210views Digital Library» more  DL 2000»
14 years 1 days ago
Extracting and visualizing semantic structures in retrieval results for browsing
The paper introduces an approach that organizes retrieval results semantically and displays them spatially for browsing. Latent Semantic Analysis as well as cluster techniques are...
Katy Börner
SIGIR
2004
ACM
14 years 1 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
WWW
2008
ACM
14 years 8 months ago
Automatic web image selection with a probabilistic latent topic model
We propose a new method to select relevant images to the given keywords from images gathered from the Web based on the Probabilistic Latent Semantic Analysis (PLSA) model which is...
Keiji Yanai