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Transition Network Grammars For Syntactic Pattern Recognition
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Book Synopsis Transition Network Grammars for Syntactic Pattern Recognition by : S. M. Chou
Download or read book Transition Network Grammars for Syntactic Pattern Recognition written by S. M. Chou and published by . This book was released on 1975 with total page 8 pages. Available in PDF, EPUB and Kindle. Book excerpt: The application of transition network grammars to syntactic pattern recognition is studied in this paper. The relation between basic transition networks and context-free grammars is demonstrated. Augmented transition networks can be used to represent context-sensitive, or even type 0 languages. Stochastic transition networks are defined and the parsing of languages represented by transition networks and stochastic transition networks investigated. Error-correcting parsing algorithms are proposed from the viewpoint of syntactic pattern recognition. The voice-chess grammar is used in an experiment to illustrate various parsing results.
Book Synopsis Transition Networks for Pattern Recognition by : Su May Chou
Download or read book Transition Networks for Pattern Recognition written by Su May Chou and published by . This book was released on 1975 with total page 187 pages. Available in PDF, EPUB and Kindle. Book excerpt: Transition networks along with a discussion of their relationships to grammars of Chomsky's hierarchy is studied. The modified Earley's parsing algorithm for transition network grammars is also presented. A transition network is a model for a grammar. It provides perspicuity in expression and allows efficient parsing algorithms. The stochastic and error correcting versions of transition networks are also presented. The approach of stochastic error correcting transition network analysis is proposed to solve the problem of noise and distortion in syntactic pattern recognition. The advantages of this approach are discussed in detail and illustrated by an experiment on voice-chess language. Finally, an approach to the inference of transition networks is proposed. The inference on the probability assignment over the arcs of stochastic transition networks is also discussed. The inference techniques are illustrated by examples.
Book Synopsis Syntactic Pattern Recognition by : Flasinski Mariusz
Download or read book Syntactic Pattern Recognition written by Flasinski Mariusz and published by World Scientific. This book was released on 2019-03-25 with total page 404 pages. Available in PDF, EPUB and Kindle. Book excerpt: This unique compendium presents the major methods of recognition and learning used in syntactic pattern recognition from the 1960s till 2018. Each method is introduced firstly in a formal way. Then, it is explained with the help of examples and its algorithms are described in a pseudocode. The survey of the applications contains more than 1,000 sources published since the 1960s. The open problems in the field, the challenges and the determinants of the future development of syntactic pattern recognition are discussed.This must-have volume provides a good read and serves as an excellent source of reference materials for researchers, academics, and postgraduate students in the fields of pattern recognition, machine perception, computer vision and artificial intelligence.
Book Synopsis Syntactic and Structural Pattern Recognition by : Horst Bunke
Download or read book Syntactic and Structural Pattern Recognition written by Horst Bunke and published by World Scientific. This book was released on 1990 with total page 568 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Pattern Analysis written by H. Niemann and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 316 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is devoted to pattern analysis, that is, the automatic construc tion of a symbolic description for a complex pattern, like an image or con nected speech. Pattern analysis thus tries to simulate certain capabilities which go without saying in any human central nervous system. The increasing interest and growing efforts at solving the problems related with pattern analysis are motivated by the challenge of the problem and the expected ap plications. Potential applications are numerous and result from the fact that data can be gathered and stored by modern devices in ever increasing extent, thus making the finding of particular interesting facts or events in these hosts of data an ever increasing problem. It was tried to organize the book around one particular view of pattern analysis: the view that pattern analysis requires an appropriate set of modules operating on a common data base which contains interme processing diate results of processing. Although other views are certainly possible, this one was adopted because the author feels that it is a useful idea, be cause the size of this book had to be kept within reasonable bounds, and because it facilitated the composition of fairly self-contained chapters.
Book Synopsis Advances in Structural and Syntactical Pattern Recognition by : Petra Perner
Download or read book Advances in Structural and Syntactical Pattern Recognition written by Petra Perner and published by Springer Science & Business Media. This book was released on 1996-08-07 with total page 412 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 6th International Workshop on Structural and Syntactical Pattern Recognition, SSPR '96, held in Leipzig, Germany in August 1996. The 36 revised full papers included together with three invited papers were carefully selected from a total of 52 submissions. The papers are organized in topical sections on grammars and languages; morphology and mathematical approaches to pattern recognition; semantic nets, relational models and graph-based methods; 2D and 3D shape recognition; document image analysis and recognition; and handwritten and printed character recognition.
Book Synopsis Syntactic Pattern Recognition for Seismic Oil Exploration by : Kou-Yuan Huang
Download or read book Syntactic Pattern Recognition for Seismic Oil Exploration written by Kou-Yuan Huang and published by World Scientific. This book was released on 2002-01-01 with total page 152 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Syntactic Pattern Recognition by : Rafael C. Gonzalez
Download or read book Syntactic Pattern Recognition written by Rafael C. Gonzalez and published by Addison Wesley Publishing Company. This book was released on 1978 with total page 316 pages. Available in PDF, EPUB and Kindle. Book excerpt: Elements of formal language theory. Higher-dimensional grammars. Recognition and translation of syntactic strcutures. Stochastic grammars, languages, and recognizes. Grammatical inference.
Book Synopsis Transition Network Grammars for Natural Language Analysis by : William A. Woods
Download or read book Transition Network Grammars for Natural Language Analysis written by William A. Woods and published by . This book was released on 1978 with total page 15 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Data Structures, Computer Graphics, and Pattern Recognition by : A. Klinger
Download or read book Data Structures, Computer Graphics, and Pattern Recognition written by A. Klinger and published by Academic Press. This book was released on 2014-05-10 with total page 513 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data Structures, Computer Graphics, and Pattern Recognition focuses on the computer graphics and pattern recognition applications of data structures methodology. This book presents design related principles and research aspects of the computer graphics, system design, data management, and pattern recognition tasks. The topics include the data structure design, concise structuring of geometric data for computer aided design, and data structures for pattern recognition algorithms. The survey of data structures for computer graphics systems, application of relational data structures in computer graphics, and observations on linguistics for scene analysis are also elaborated. This text likewise covers the design of satellite graphics systems, interactive image segmentation, surface representation for computer aided design, and error-correcting parsing for syntactic pattern recognition. This publication is valuable to practitioners in data structures, particularly those who are applying real computer systems to problems involving image, speech, and medical data.
Book Synopsis Applications of Pattern Recognition by : King-Sun Fu
Download or read book Applications of Pattern Recognition written by King-Sun Fu and published by CRC Press. This book was released on 2019-07-22 with total page 284 pages. Available in PDF, EPUB and Kindle. Book excerpt: This monograph is intended to cover several major applications of pattern recognition. After a brief introduction to pattern recognition in Chapter 1, the two major approaches, statistical approach and syntactic approach, are reviewed in Chapter 2, and 3, respectively. Other topics include the application of pattern recognition to seismic wave interpretation, to system reliability problems, to medical data analysis, as well as character and speech recognition.
Book Synopsis Scientific and Technical Aerospace Reports by :
Download or read book Scientific and Technical Aerospace Reports written by and published by . This book was released on 1977 with total page 1150 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Progress in Pattern Recognition 1 by : L.N. Kanal
Download or read book Progress in Pattern Recognition 1 written by L.N. Kanal and published by Elsevier. This book was released on 2014-06-28 with total page 400 pages. Available in PDF, EPUB and Kindle. Book excerpt: Progress in Pattern Recognition 1
Book Synopsis The Design of Interpreters, Compilers, and Editors for Augmented Transition Networks by : Leonard Bolc
Download or read book The Design of Interpreters, Compilers, and Editors for Augmented Transition Networks written by Leonard Bolc and published by Springer. This book was released on 1983-08-01 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Augmented Transition Network Grammars are at present the most widely used method for analyzing natural languages. Despite the increasing po pularity of this method, however, no extensive papers on ATN-Grammars have been presented which would be accessible to a larger number of per sons engaged in the problem from both the theoretical and practical points of view. Augmented Transition Networks (ATN) are derived from state automata. Like a finite state automaton, an ATN consists of a collection of la beled states and arcs, a distinguished start state and a set of distin guished final states. States are connected with each other by arcs crea ting a directed graph or net. The label on an arc indicates a terminal symbol (word) or the type of words which must occur in an input stream to allow the transition to the next state. It is said that a sequence of words (or sentence) is accepted by such a net if there exists a se quence of arcs (usually called a path), connecting the start state with a final state, which can be followed to the sentence. The finite state automaton is then enriched by several facilities which increase its computational power. The most important of them permits some arcs to be labeled by nonterminal rather than terminal symbols. This means that the transition through such an arc is actually the re cursive application of the net beginning with a pointed state.
Book Synopsis Pattern Formation by Dynamic Systems and Pattern Recognition by : Hermann Haken
Download or read book Pattern Formation by Dynamic Systems and Pattern Recognition written by Hermann Haken and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 310 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book contains the manuscripts of the papers delivered at the International Sym posium on Synergetics held at SchloB Elmau, Bavaria, Germany, from April 30 until May 5, 1979. This conference followed several previous ones (Elmau 1972, Sicily 1974, Elmau 1977). This time the subject of the symposium was "pattern formation by dynam ic systems and pattern recognition". The meeting brought together scientists from such diverse fields as mathematics, physics, chemistry, biology, history as well as experts in the fields of pattern recognition and associative memory. When I started this type of conference in 1972 it appeared to be a daring enter prise. Indeed, we began to explore virgin land of science: the systematic study of cooperative effects in physical systems far from equi~ibrium and in other disciplines. Though these meetings were attended by scientists from quite different disciplines, a basic concept and even a common language were found from the very beginning. The idea that there exist profound analogies in the behaviour of large classes of complex systems, though the systems themselves may be quite different, proved to be most fruitful. I was delighted to see that over the past one or two years quite similar conferences were now held in various places allover the world. The inclusion of prob lems of pattern recognition at the present meeting is a novel feature, however.
Book Synopsis Graph-Grammars and Their Application to Computer Science and Biology by : V. Claus
Download or read book Graph-Grammars and Their Application to Computer Science and Biology written by V. Claus and published by Springer Science & Business Media. This book was released on 1979-07 with total page 490 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Tutorial, Context-directed Pattern Recognition and Machine Intelligence Techniques for Information Processing by : Yoh-Han Pao
Download or read book Tutorial, Context-directed Pattern Recognition and Machine Intelligence Techniques for Information Processing written by Yoh-Han Pao and published by . This book was released on 1982 with total page 576 pages. Available in PDF, EPUB and Kindle. Book excerpt:
