A Markovian random field approach is proposed for automatic information retrieval in full text documents. We draw up an analogy between a flow of queries/document images connections and statistical mechanics systems. The Markovian flow process machine (MFP) models the interaction between queries and document images as a dynamical system. The MFP machine searches to fit the user's queries by changing the set of descriptors contained in the document images. There is hence a constant transformation of the informational states of the fund. For each state, a certain degradation of the system is considered. We use simulated annealing algorithm to isolate low energy states: this corresponds to the best "matching" in some sense between queries and images.
A Markovian random field approach to information retrieval
Proceedings of 3rd International Conference on Document Analysis and Recognition ; 2 ; 997-1002 vol.2
1995-01-01
705373 byte
Conference paper
Electronic Resource
English
A Markovian Random Field Approach to Information Retrieval
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