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Syntactic and structural pattern recognition / edited by Gabriel Ferraté ... [et al.].

Contributor(s): Material type: TextTextSeries: NATO ASI series. Series F, Computer and systems sciences ; ; no. 45.Publication details: Berlin : Springer-Verlag, c1988.Description: xv, 467 pages : illustrations ; 25 cmISBN:
  • 9780387192093
  • 9783642834646
  • 9783642834622(eBook)
Subject(s): DDC classification:
  • 006.4 19
LOC classification:
  • TK7882.P3 N34 1986
Contents:
I. Matching and Parsing I.- A string correction method based on the context-dependent similarity.- An error-correcting parser for a context-free language based on the context-dependent similarity.- Ordered structural matching.- II. Matching and Parsing II.- A parsing algorithm for weighted grammars and substring recognition.- Computing the minimum error distance of graphs in 0 (n3) time with precedence graph grammars.- A unified view on tree metrics.- III. Applications I.- Problems in recognition of drawings.- Application of structural pattern recognition in histopathology.- Applications of multidimensional search to structural feature identification.- IV. Grammatical Inference and Clustering.- Learning from examples in sequences and grammatical inference.- An efficient algorithm for the inference of circuit-free automata.- Voronoi trees and clustering problems.- V. Image Understanding.- Hough-space decomposition for polyhedral scene analysis.- Running efficiently arc consistency.- Smith: an efficient model-based two dimensional shape matching technique.- Training and model generation for a syntactic curve network parser.- VI. Applications II.- Knowledge-based computer recognition of speech.- Computers viewing artists at work.- Face recognition from range data by structural analysis.- Cryptosystems for picture languages.- VII. Hybrid Approaches I.- Hybrid approaches.- An AI-structural approach to edge detection.- Building hierarchies-an algorithmic approach.- VIII. Hybrid Approaches II.- Combining logic based and syntactic techniques: a powerful approach.- A syntactic approach to planning.- IX. Working Sessions.- Working Group A: 2D and 3D Image Understanding.- Working Group B: Waveform and Speech Recognition.- Working Group C: Hybrid Techniques.- Working Group D: Models and Inference.- X. Panel.- Artificial Intelligence Versus Syntactic Techniques: Theoretical and Practical Issues.- XL List of Participants.
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Item type Current library Home library Call number Copy number Status Date due Barcode Item holds
Book Book Ayesha Abed Library General Stacks Ayesha Abed Library General Stacks 006.4 SYN (Browse shelf(Opens below)) 1 Available 3010044916
1 hour loan 1 hour loan Ayesha Abed Library Circulation Desk Ayesha Abed Library Circulation Desk 006.4 SYN (Browse shelf(Opens below)) 2 Available 3010044917
Book Book Ayesha Abed Library General Stacks Ayesha Abed Library General Stacks 006.4 SYN (Browse shelf(Opens below)) 3 Available 3010044918
Book Book Ayesha Abed Library General Stacks Ayesha Abed Library General Stacks 006.4 SYN (Browse shelf(Opens below)) 4 Available 3010044919
Book Book Ayesha Abed Library General Stacks Ayesha Abed Library General Stacks 006.4 SYN (Browse shelf(Opens below)) 5 Available 3010044920
Total holds: 0

NATO Advanced Research Workshop on Syntactic and Structural Pattern Recognition

Includes bibliographies.

I. Matching and Parsing I.- A string correction method based on the context-dependent similarity.- An error-correcting parser for a context-free language based on the context-dependent similarity.- Ordered structural matching.- II. Matching and Parsing II.- A parsing algorithm for weighted grammars and substring recognition.- Computing the minimum error distance of graphs in 0 (n3) time with precedence graph grammars.- A unified view on tree metrics.- III. Applications I.- Problems in recognition of drawings.- Application of structural pattern recognition in histopathology.- Applications of multidimensional search to structural feature identification.- IV. Grammatical Inference and Clustering.- Learning from examples in sequences and grammatical inference.- An efficient algorithm for the inference of circuit-free automata.- Voronoi trees and clustering problems.- V. Image Understanding.- Hough-space decomposition for polyhedral scene analysis.- Running efficiently arc consistency.- Smith: an efficient model-based two dimensional shape matching technique.- Training and model generation for a syntactic curve network parser.- VI. Applications II.- Knowledge-based computer recognition of speech.- Computers viewing artists at work.- Face recognition from range data by structural analysis.- Cryptosystems for picture languages.- VII. Hybrid Approaches I.- Hybrid approaches.- An AI-structural approach to edge detection.- Building hierarchies-an algorithmic approach.- VIII. Hybrid Approaches II.- Combining logic based and syntactic techniques: a powerful approach.- A syntactic approach to planning.- IX. Working Sessions.- Working Group A: 2D and 3D Image Understanding.- Working Group B: Waveform and Speech Recognition.- Working Group C: Hybrid Techniques.- Working Group D: Models and Inference.- X. Panel.- Artificial Intelligence Versus Syntactic Techniques: Theoretical and Practical Issues.- XL List of Participants.

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