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    STRUCTURAL PATTERN ANALYSIS

    edited by R Mohr (LIFIA-IMAG, Grenoble) , Th Pavlidis (SUNY, Stonybrook) , & A Sanfeliu (Univ. Politècnica, Barcelona)

    This book contains a selection of 14 papers presented at the workshop organised by the International Association for Pattern Recognition (IAPR) Technical Committee on Syntactical and Structural Pattern Recognition, at Pont-à-Mousson, 1988. These papers which have been expanded, focus on both fundamental aspects and applications. They show that structural methods are a good framework for integrating both symbolic and numerical knowledge for modeling, recognition and also learning. The applications described are on document analysis, speech and image analysis.

     
    Contents:
    • Parsing Multivalued Strings and its Application to Image and Waveform Recognition (H Bunke & D Pasche)
    • 3-D Object Recognition Based on Subgraph Matching in Polynomial Time (E Gmür & H Bunke)
    • Feature Grouping: A Way to Deterministic Matching (R Mohr et al.)
    • On the Use of an Ear Model and Multi-Layered Networks for Automatic Speech Recognition (R de Mori et al.)
    • Hierarchical Cooperation Between Numerical and Symbolic Image Representation (G Paar & W Kropatsch)
    • The Pattern Complex (R M Haralick)
    • Inductive Learning of Finite-State Transducers for the Interpretation of Unidimensional Objects (E Vidal et al.)
    • Matching Complex Structures: The Cyclic Tree Representation Scheme (A Sanfeliu)
    • Global-to-Local Layout Analysis (H S Baird)
    • An Entity Extractor for Images of Engineering Drawings (S H Joseph)
    • Analysis of Technical Documents Using a priori Knowledge (K Tombre & D Antoine)
    • A Knowledge Based Industrial Vision System (H Niemann et al.)
    • Use of Shadows for Extracting Buildings in Aerial Images (Y T Liow & Th Pavlidis)
    • A Syntactic Approach to Document Segmentation (M Viswanathan & M Krishnamoorthy)
     
    Readership: Computer scientists.
     


     
    268pp    Pub. date: Jan 1990  
    ISBN:   978-981-02-0097-8
    981-02-0097-8
       US$84 / £63

     


     

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