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Author: Horst Bunke
Publisher: World Scientific
ISBN: 9789971505660
Category : Computers
Languages : en
Pages : 568
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Book Description
This book is currently the only one on this subject containing both introductory material and advanced recent research results. It presents, at one end, fundamental concepts and notations developed in syntactic and structural pattern recognition and at the other, reports on the current state of the art with respect to both methodology and applications. In particular, it includes artificial intelligence related techniques, which are likely to become very important in future pattern recognition.The book consists of individual chapters written by different authors. The chapters are grouped into broader subject areas like “Syntactic Representation and Parsing”, “Structural Representation and Matching”, “Learning”, etc. Each chapter is a self-contained presentation of one particular topic. In order to keep the original flavor of each contribution, no efforts were undertaken to unify the different chapters with respect to notation. Naturally, the self-containedness of the individual chapters results in some redundancy. However, we believe that this handicap is compensated by the fact that each contribution can be read individually without prior study of the preceding chapters. A unification of the spectrum of material covered by the individual chapters is provided by the subject and author index included at the end of the book.
Author: Horst Bunke
Publisher: World Scientific
ISBN: 9789971505660
Category : Computers
Languages : en
Pages : 568
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Book Description
This book is currently the only one on this subject containing both introductory material and advanced recent research results. It presents, at one end, fundamental concepts and notations developed in syntactic and structural pattern recognition and at the other, reports on the current state of the art with respect to both methodology and applications. In particular, it includes artificial intelligence related techniques, which are likely to become very important in future pattern recognition.The book consists of individual chapters written by different authors. The chapters are grouped into broader subject areas like “Syntactic Representation and Parsing”, “Structural Representation and Matching”, “Learning”, etc. Each chapter is a self-contained presentation of one particular topic. In order to keep the original flavor of each contribution, no efforts were undertaken to unify the different chapters with respect to notation. Naturally, the self-containedness of the individual chapters results in some redundancy. However, we believe that this handicap is compensated by the fact that each contribution can be read individually without prior study of the preceding chapters. A unification of the spectrum of material covered by the individual chapters is provided by the subject and author index included at the end of the book.
Author: K.S. Fu
Publisher: Springer Science & Business Media
ISBN: 3642664385
Category : Science
Languages : en
Pages : 278
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Book Description
The many different mathematical techniques used to solve pattem recognition problems may be grouped into two general approaches: the decision-theoretic (or discriminant) approach and the syntactic (or structural) approach. In the decision-theoretic approach, aset of characteristic measurements, called features, are extracted from the pattems. Each pattem is represented by a feature vector, and the recognition of each pattem is usually made by partitioning the feature space. Applications of decision-theoretic approach indude character recognition, medical diagnosis, remote sensing, reliability and socio-economics. A relatively new approach is the syntactic approach. In the syntactic approach, ea ch pattem is expressed in terms of a composition of its components. The recognition of a pattem is usually made by analyzing the pattem structure according to a given set of rules. Earlier applications of the syntactic approach indude chromosome dassification, English character recognition and identification of bubble and spark chamber events. The purpose of this monograph is to provide a summary of the major reeent applications of syntactic pattem recognition. After a brief introduction of syntactic pattem recognition in Chapter 1, the nin e mai n chapters (Chapters 2-10) can be divided into three parts. The first three chapters concem with the analysis of waveforms using syntactic methods. Specific application examples indude peak detection and interpretation of electro cardiograms and the recognition of speech pattems. The next five chapters deal with the syntactic recognition of two-dimensional pictorial pattems.
Author: Chi Hau Chen
Publisher: World Scientific
ISBN: 9814497649
Category : Computers
Languages : en
Pages : 1045
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Book Description
The very significant advances in computer vision and pattern recognition and their applications in the last few years reflect the strong and growing interest in the field as well as the many opportunities and challenges it offers. The second edition of this handbook represents both the latest progress and updated knowledge in this dynamic field. The applications and technological issues are particularly emphasized in this edition to reflect the wide applicability of the field in many practical problems. To keep the book in a single volume, it is not possible to retain all chapters of the first edition. However, the chapters of both editions are well written for permanent reference. This indispensable handbook will continue to serve as an authoritative and comprehensive guide in the field.
Author: Horst Bunke
Publisher: World Scientific
ISBN: 9814507636
Category : Computers
Languages : en
Pages : 572
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Book Description
This book is currently the only one on this subject containing both introductory material and advanced recent research results. It presents, at one end, fundamental concepts and notations developed in syntactic and structural pattern recognition and at the other, reports on the current state of the art with respect to both methodology and applications. In particular, it includes artificial intelligence related techniques, which are likely to become very important in future pattern recognition.The book consists of individual chapters written by different authors. The chapters are grouped into broader subject areas like “Syntactic Representation and Parsing”, “Structural Representation and Matching”, “Learning”, etc. Each chapter is a self-contained presentation of one particular topic. In order to keep the original flavor of each contribution, no efforts were undertaken to unify the different chapters with respect to notation. Naturally, the self-containedness of the individual chapters results in some redundancy. However, we believe that this handicap is compensated by the fact that each contribution can be read individually without prior study of the preceding chapters. A unification of the spectrum of material covered by the individual chapters is provided by the subject and author index included at the end of the book.
Author: King Sun Fu
Publisher: Springer
ISBN:
Category : Computers
Languages : en
Pages : 522
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Book Description
Research in the field of pattern recognition both in theo retical terms and in the area of appl ication continues to flourish. Pattern recognition is a fairly diverse field involving researchers whose primary disciplines spread over at least a half dozen fields. Possibly because of the great diversity of backgrounds but a common interest in certain broad areas of application, the field has grown so rapidly and yet seems to promise at least a similar growth rate for the future. This book is a collection containing some of the papers that were presented at the N. A. T. O. Advanced Study Institute held in Bandol, France, September 1975. The main purpose of the institute was to present material which would provide a basic background in the field. Thus, survey papers covering syntactic methods, picture processing, classification theory, and speech recognition were presented. This should have provided the listener (and we hope now, the reader) with an acquaintance with the basic tools, a look at some of the appl ications and an appraisal of how each of the particular topics will evolve. A more recent addition to the pattern recognition "family" is the work in the areas of economics and group choice. Since the process of recognizing and inter preting patterns is so fundamental, it probably is no surprise when a particular discipline is discovered to be amenable to the already developed techniques.
Author: Kou-Yuan Huang
Publisher: World Scientific
ISBN: 9789812775740
Category : Technology & Engineering
Languages : en
Pages : 152
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Book Description
The use of pattern recognition has become more and more important in seismic oil exploration. Interpreting a large volume of seismic data is a challenging problem. Seismic reflection data in the one-shot seismogram and stacked seismogram may contain some structural information from the response of the subsurface. Syntactic/structural pattern recognition techniques can recognize the structural seismic patterns and improve seismic interpretations. The syntactic analysis methods include: (1) the error-correcting finite-state parsing, (2) the modified error-correcting Earley's parsing, (3) the parsing using the match primitive measure, (4) the Levenshtein distance computation, (5) the likelihood ratio test, (6) the error-correcting tree automata, and (7) a hierarchical system. Syntactic seismic pattern recognition can be one of the milestones of a geophysical intelligent interpretation system. The syntactic methods in this book can be applied to other areas, such as the medical diagnosis system. The book will benefit geophysicists, computer scientists and electrical engineers. Sample Chapter(s). Chapter 1: Introduction to Syntactic Pattern Recognition (114 KB). Contents: Introduction to Syntactic Pattern Recognition; Introduction to Formal Languages and Automata; Error-Correcting Finite-State Automaton for Recognition of Ricker Wavelets; Attributed Grammar and Error-Correcting Earley's Parsing; Attributed Grammar and Match Primitive Measure (MPM) for Recognition of Seismic Wavelets; String Distance and Likelihood Ratio Test for Detection of Candidate Bright Spot; Tree Grammar and Automaton for Seismic Pattern Recognition; A Hierarchical Recognition System of Seismic Patterns and Future Study. Readership: Geophysicists, computer scientists and electrical engineers.
Author: Gabriel Ferrate
Publisher: Springer Science & Business Media
ISBN: 3642834620
Category : Computers
Languages : en
Pages : 456
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Book Description
Thirty years ago pattern recognition was dominated by the learning machine concept: that one could automate the process of going from the raw data to a classifier. The derivation of numerical features from the input image was not considered an important step. One could present all possible features to a program which in turn could find which ones would be useful for pattern recognition. In spite of significant improvements in statistical inference techniques, progress was slow. It became clear that feature derivation was a very complex process that could not be automated and that features could be symbolic as well as numerical. Furthennore the spatial relationship amongst features might be important. It appeared that pattern recognition might resemble language analysis since features could play the role of symbols strung together to form a word. This led. to the genesis of syntactic pattern recognition, pioneered in the middle and late 1960's by Russel Kirsch, Robert Ledley, Nararimhan, and Allan Shaw. However the thorough investigation of the area was left to King-Sun Fu and his students who, until his untimely death, produced most of the significant papers in this area. One of these papers (syntactic recognition of fingerprints) received the distinction of being selected as the best paper published that year in the IEEE Transaction on Computers. Therefore syntactic pattern recognition has a long history of active research and has been used in industrial applications.
Author: J.P. Marques de Sá
Publisher: Springer Science & Business Media
ISBN: 3642566510
Category : Computers
Languages : en
Pages : 331
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Book Description
The book provides a comprehensive view of pattern recognition concepts and methods, illustrated with real-life applications in several areas. A CD-ROM offered with the book includes datasets and software tools, making it easier to follow in a hands-on fashion, right from the start.
Author: H Bunke
Publisher: World Scientific
ISBN: 9814505153
Category :
Languages : en
Pages : 636
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Book Description
Pattern recognition is an active area of research with many applications, some of which have reached commercial maturity. Structural and syntactic methods are very powerful. They are based on symbolic data structures together with matching, parsing, and reasoning procedures that are able to infer interpretations of complex input patterns. This book gives an overview of the latest developments and achievements in the field. Contents:Recent Advances in String Matching (H Bunke)A New Efficient Method to Represent and Process Proximity and Similarity in Sets of Complex Objects (H Noltemeier)A Quick Way for Relational Matching: Morphology (R M Haralick et al.)Understanding Neural Networks for Grammatical Inference and Recognition (A Sanfeliu & R Alquezar)Some Recent Results on Stochastic Language Modelling (A Corazza et al.)Background Structure in Document Images (H S Baird)Automatic Object Modelization in Computer Vision (P Gros & R Mohr)Object Recognition by a Robust Matching Technique (R Salzbrunn et al.)PDL-HM: Morphological and Syntactic Shape Classification Algorithm. Real-Time Application to Fish Species Classification (H Arnarson & L F Pau et al.)Selection of Landmarks Based Upon 3D and Iconic Properties (S Tsuji & S Tsuji)and other papers Readership: Computer scientists. keywords:
Author: Rafael C. Gonzalez
Publisher: Addison Wesley Publishing Company
ISBN:
Category : Computers
Languages : en
Pages : 316
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Book Description
Elements of formal language theory. Higher-dimensional grammars. Recognition and translation of syntactic strcutures. Stochastic grammars, languages, and recognizes. Grammatical inference.
