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» Document Retrieval using a Probabilistic Knowledge Model
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CIKM
2010
Springer
13 years 6 months ago
What can quantum theory bring to information retrieval
The probabilistic formalism of quantum physics is said to provide a sound basis for building a principled information retrieval framework. Such a framework can be based on the not...
Benjamin Piwowarski, Ingo Frommholz, Mounia Lalmas...
AVI
2000
13 years 8 months ago
A Modular Approach for Exploring the Semantic Structure of Technical Document Collections
The identification and analysis of an enterprise's knowledge available in a documented form is a key element of knowledge management. Visual methods which allow easy access t...
Andreas Becks, Stefan Sklorz, Matthias Jarke
ICDAR
2009
IEEE
14 years 2 months ago
Learning Rich Hidden Markov Models in Document Analysis: Table Location
Hidden Markov Models (HMM) are probabilistic graphical models for interdependent classification. In this paper we experiment with different ways of combining the components of an ...
Ana Costa e Silva
KES
2010
Springer
13 years 5 months ago
DOCODE-Lite: A Meta-Search Engine for Document Similarity Retrieval
The retrieval of similar documents from large scale datasets has been the one of the main concerns in knowledge management environments, such as plagiarism detection, news impact a...
Felipe Bravo-Marquez, Gaston L'Huillier, Sebasti&a...
WWW
2007
ACM
14 years 8 months ago
Deriving knowledge from figures for digital libraries
Figures in digital documents contain important information. Current digital libraries do not summarize and index information available within figures for document retrieval. We pr...
Xiaonan Lu, James Ze Wang, Prasenjit Mitra, C. Lee...