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Syntactic methods in pattern recognition

In this book, we study theoretical and practical aspects of computing methods for mathematical modelling of nonlinear systems. A number of computing techniques are considered, such as methods of operator approximation with any given accuracy; operator interpolation techniques including a non-Lagrang...

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Bibliographic Details
Main Author: Fu, K. S. (King Sun), 1930-1985
Corporate Author: ScienceDirect (Online service)
Format: eBook
Language:English
Published: New York : Academic Press, 1974.
Series:Mathematics in science and engineering ; v. 112.
Physical Description:
1 online resource (xi, 295 pages) : illustrations.
Subjects:
Online Access:Elsevier - Click here for access

MARC

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083 0 |a Pattern recognition. Syntactic methods 
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245 1 0 |a Syntactic methods in pattern recognition /  |c K.S. Fu. 
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505 0 |a Front Cover; Syntactic Methods in Pattern Recognition; Copyright Page; Contents; Preface; Acknowledgments; Chapter 1 Introduction; 1.1 Syntactic (Structural) Approach to Pattern Recognition; 1.2 Syntactic Pattern Recognition System; 1.3 Preprocessing Techniques; 1.4 Pattern Segmentation; 1.5 Remarks on Syntactic Approach versus Decision-Theoretic Approach; References; Chapter 2 Introduction to Formal Languages; 2.1 Introduction; 2.2 Languages and Phrase-Structure Grammars; 2.3 Finite-State Languages and Finite-State Automata; 2.4 Context-Free Languages and Pushdown Automata. 
505 8 |a 2.5 Turing Machines and Linear-Bounded Automata2.6 Modified Grammars; References; Chapter 3 Languages for Pattern Description; 3.1 Selection of Pattern Primitives; 3.2 Pattern Grammar: Introduction; 3.3 High Dimensional Pattern Grammars; 3.4 The Use of Semantic Information; References; Chapter 4 Syntax Analysis as a Recognition Procedure; 4.1 Introduction; 4.2 Top-Down Parsing; 4.3 Bottom-Up Parsing; 4.4 LR(k) Grammars; 4.5 An Efficient Top-Down Parser; 4.6 Operator Precedence Grammars; 4.7 Precedence and Extended Precedence Grammars; 4.8 Syntax Analysis of Context-Free Programmed Languages. 
505 8 |a 6.3 Examples of Stochastic Syntax AnalysisReferences; Chapter 7 Grammatical Inference for Syntactic Pattern Recognition; 7.1 Introduction and Basic Definitions; 7.2 Grammatical Inference Algorithms by Enumeration; 7.3 Grammatical Inference Algorithms by Induction; 7.4 Bayesian Inference of Stochastic Grammars; 7.5 Synthesis of Stochastic Finite-State Automata; 7.6 A Practical Grammatical Inference System; 7.7 Approximation of Stochastic Languages; References; Appendix A Syntactic Recognition of Chromosome Patterns; Appendix B PDL (Picture Description Language). 
505 8 |a Appendix C Syntactic Recognition of Two-Dimensional Mathematical ExpressionsAppendix D Syntactic Description of Hand-Printed FORTRAN Characters; Appendix E Syntactic Recognition of Chinese Characters; Appendix F Syntactic Recognition of Spoken Words; Appendix G Plex Languages; Appendix H Web Grammars; Appendix I Tree Grammars for Syntactic Pattern Recognition; Author Index; Subject Index. 
520 |a In this book, we study theoretical and practical aspects of computing methods for mathematical modelling of nonlinear systems. A number of computing techniques are considered, such as methods of operator approximation with any given accuracy; operator interpolation techniques including a non-Lagrange interpolation; methods of system representation subject to constraints associated with concepts of causality, memory and stationarity; methods of system representation with an accuracy that is the best within a given class of models; methods of covariance matrix estimation;methods for low-rank. 
650 0 |a Pattern perception.  |0 https://id.loc.gov/authorities/subjects/sh85098789. 
650 0 |a Mathematical linguistics.  |0 https://id.loc.gov/authorities/subjects/sh85082122. 
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650 7 |a Mustererkennung.  |2 gnd. 
650 7 |a Syntaktische Analyse.  |2 gnd. 
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