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.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    A Markovian random field approach to information retrieval


    Contributors:


    Publication date :

    1995-01-01


    Size :

    705373 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    A Markovian Random Field Approach to Information Retrieval

    Bouchaffra, D. / Meunier, J. G. | British Library Conference Proceedings | 1995


    Damage Tolerance and Reliability Assessment under Random Markovian Loads

    Bourinet, Jean-Marc / Mattrand, Cecile | Tema Archive | 2013


    Web Server Workload Prediction: Fuzzy Markovian Approach

    Cheong, C. W. | British Library Online Contents | 2004


    A Markovian based approach for autonomous space systems

    Tipaldi, Massimo / Glielmo, Luigi | IEEE | 2015


    INFORMATION RETRIEVAL PROGRAM AND INFORMATION RETRIEVAL APPARATUS

    HIDAKA YOSUKE | European Patent Office | 2021

    Free access