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CIKM
2009
Springer
9 years 2 months ago
Probabilistic models for topic learning from images and captions in online biomedical literatures
Biomedical images and captions are one of the major sources of information in online biomedical publications. They often contain the most important results to be reported, and pro...
Xin Chen, Caimei Lu, Yuan An, Palakorn Achananupar...
WS
2010
ACM
8 years 7 months ago
Structured literature image finder: Parsing text and figures in biomedical literature
The SLIF project combines text-mining and image processing to extract structured information from biomedical literature. SLIF extracts images and their captions from published pap...
Amr Ahmed, Andrew Arnold, Luís Pedro Coelho...
KDD
2009
ACM
219views Data Mining» more  KDD 2009»
9 years 10 months ago
Structured correspondence topic models for mining captioned figures in biological literature
A major source of information (often the most crucial and informative part) in scholarly articles from scientific journals, proceedings and books are the figures that directly pro...
Amr Ahmed, Eric P. Xing, William W. Cohen, Robert ...
KDD
2004
ACM
210views Data Mining» more  KDD 2004»
9 years 9 months ago
Probabilistic author-topic models for information discovery
We propose a new unsupervised learning technique for extracting information from large text collections. We model documents as if they were generated by a two-stage stochastic pro...
Mark Steyvers, Padhraic Smyth, Michal Rosen-Zvi, T...
TMM
2010
194views Management» more  TMM 2010»
8 years 4 months ago
Modeling Flickr Communities Through Probabilistic Topic-Based Analysis
Abstract--With the increased presence of digital imaging devices, there also came an explosion in the amount of multimedia content available online. Users have transformed from pas...
Radu Andrei Negoescu, Daniel Gatica-Perez
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