Syntactic Methods in Pattern Recognition

Author: N.A

Publisher: Elsevier

ISBN: 9780080956213

Category: Mathematics

Page: 322

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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 matrix approximations; hybrid methods based on a combination of iterative procedures and best operator approximation; and methods for information compression and filtering under condition that a filter model should satisfy restrictions associated with causality and different types of memory. As a result, the book represents a blend of new methods in general computational analysis, and specific, but also generic, techniques for study of systems theory ant its particular branches, such as optimal filtering and information compression. - Best operator approximation, - Non-Lagrange interpolation, - Generic Karhunen-Loeve transform - Generalised low-rank matrix approximation - Optimal data compression - Optimal nonlinear filtering

Advances in Structural and Syntactical Pattern Recognition

6th International Workshop, SSPR' 96, Leipzig, Germany, August, 20 - 23, 1996, Proceedings

Author: Germany) International Workshop on Structural and Syntactic Pattern Recognition (6th : 1996 : Leipzig,Petra Perner,Patrick Wang

Publisher: Springer Science & Business Media

ISBN: 9783540615774

Category: Computers

Page: 392

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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.

EDSI – Effiziente Grammatikinduktion

Korpus-basierte effiziente Informationsextraktion und Grammatikinduktion

Author: Chunze Shen

Publisher: Akademische Verlagsgemeinschaft München

ISBN: 3960910711

Category: Psychology

Page: 278

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Grammatikinduktion gewinnt aufgrund ihrer vielseitigen Anwendungen seit einigen Jahren immer mehr Aufmerksamkeit. In der Computerlinguistik ist die automatische Grammatikinduktion heute ein hochinteressantes Forschungsthema geworden. In der vorliegenden Arbeit wurde ein effizienter, lernbasierter Ansatz (EDSI) entwickelt, kontextfreie Grammatiken automatisch zu extrahieren und darüber hinaus lokale Grammatiken zu induzieren. Der EDSI-Ansatz (Effiziente Distillation syntaktischer Informationen) wurde auf englischen und deutschen Korpora evaluiert und mit den klassischen Ansatz ABL verglichen. Die Verarbeitungseffizienz wird wesentlich erhöht, während die Extraktionsresultate ebenfalls verbessert werden. Am Ende werden lokale Grammatiken beispielsweise angewendet, um spezielle Informationen zu extrahieren.

Syntactic and Structural Pattern Recognition

Author: Gabriel Ferrate,Theo Pavlidis,Alberto Sanfeliu,Horst Bunke

Publisher: Springer Science & Business Media

ISBN: 3642834620

Category: Computers

Page: 471

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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.

Mustererkennung 1984

DAGM/ÖAGM Symposium Graz, 2.-4. Oktober 1984 Proceedings

Author: W. Kropatsch

Publisher: Springer-Verlag

ISBN: 3662023903

Category: Computers

Page: 353

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Structural, Syntactic, and Statistical Pattern Recognition

Joint IAPR International Workshop, SSPR & SPR 2008, Orlando, USA, December 4-6, 2008. Proceedings

Author: Niels da Vitoria Lobo,Takis Kasparis,Michael Georgiopoulos,Fabio Roli,James Kwok,Georgios C. Anagnostopoulos,Marco Loog

Publisher: Springer Science & Business Media

ISBN: 3540896880

Category: Computers

Page: 1011

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This book constitutes the refereed proceedings of the 12th International Workshop on Structural and Syntactic Pattern Recognition, SSPR 2008 and the 7th International Workshop on Statistical Techniques in Pattern Recognition, SPR 2008, held jointly in Orlando, FL, USA, in December 2008 as a satellite event of the 19th International Conference of Pattern Recognition, ICPR 2008. The 56 revised full papers and 42 revised poster papers presented together with the abstracts of 4 invited papers were carefully reviewed and selected from 175 submissions. The papers are organized in topical sections on graph-based methods, probabilistic and stochastic structural models for PR, image and video analysis, shape analysis, kernel methods, recognition and classification, applications, ensemble methods, feature selection, density estimation and clustering, computer vision and biometrics, pattern recognition and applications, pattern recognition, as well as feature selection and clustering.

Advances in Information Systems Science

Author: Julius T. Tou

Publisher: Springer Science & Business Media

ISBN: 1461582431

Category: Juvenile Nonfiction

Page: 354

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Information systems science embraces a broad spectrum of topics. It is vir tually impossible to provide comprehensive and in-depth discussion, other than simple recitals of recent results, of every important topic in each volume of this annual review series. Since we have chosen the former approach, each volume will only cover certain aspects of recent advances in this bur geoning field. The emphasis in this volume, the third of a continuing series, is focussed upon pattern recognition, pictorial information manipulation, and new approaches to logical design of information networks. In Chapter 1, V. A. Kovalevsky presents a tutorial survey of practical and theoretical developments in pattern recognition. He categorizes the basic developments in three different directions. The first direction is charac terized by an empirical treatment with highly specialized recognition schemes. In the second direction, the major efforts are centered upon the cre ation of learning systems capable of improving recognition performance on the basis of past experience. The majority of the work in the third direction is devoted to the study of the basic structure of complex patterns, the con struction of mathematical models for pattern recognition, and the analysis of complex pictorial representations. The author elucidates the "heuristics" approach and the "science" approach to pattern recognition problems. This chapter together with Chapter 2 of this volume supplements the chapter on Engineering Principles of Pattern Recognition in Volume 1 to provide a more complete treatment of this subject.

Pattern Recognition and String Matching

Author: Dechang Chen,Xiuzhen Cheng

Publisher: Springer Science & Business Media

ISBN: 1461302315

Category: Mathematics

Page: 772

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The research and development of pattern recognition have proven to be of importance in science, technology, and human activity. Many useful concepts and tools from different disciplines have been employed in pattern recognition. Among them is string matching, which receives much theoretical and practical attention. String matching is also an important topic in combinatorial optimization. This book is devoted to recent advances in pattern recognition and string matching. It consists of twenty eight chapters written by different authors, addressing a broad range of topics such as those from classifica tion, matching, mining, feature selection, and applications. Each chapter is self-contained, and presents either novel methodological approaches or applications of existing theories and techniques. The aim, intent, and motivation for publishing this book is to pro vide a reference tool for the increasing number of readers who depend upon pattern recognition or string matching in some way. This includes students and professionals in computer science, mathematics, statistics, and electrical engineering. We wish to thank all the authors for their valuable efforts, which made this book a reality. Thanks also go to all reviewers who gave generously of their time and expertise.

Structural, Syntactic, and Statistical Pattern Recognition

Joint IAPR International Workshops, SSPR 2006 and SPR 2006, Hong Kong, China, August 17-19, 2006, Proceedings

Author: Dit-Yan Yeung,James T. Kwok,Ana Fred,Dick de Ridder,Fabio Roli

Publisher: Springer Science & Business Media

ISBN: 3540372369

Category: Computers

Page: 939

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This is the proceedings of the 11th International Workshop on Structural and Syntactic Pattern Recognition, SSPR 2006 and the 6th International Workshop on Statistical Techniques in Pattern Recognition, SPR 2006, held in Hong Kong, August 2006 alongside the Conference on Pattern Recognition, ICPR 2006. 38 revised full papers and 61 revised poster papers are included, together with 4 invited papers covering image analysis, character recognition, bayesian networks, graph-based methods and more.

Detection of Optical and Infrared Radiation

Author: R. H. Kingston

Publisher: Springer

ISBN: 3540359486

Category: Science

Page: 142

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This text treats the fundamentals of optical and infrared detection in terms of the behavior of the radiation field, the physical properties of the detector, and the statistical behavior of the detector output. Both incoherent and coherent detection are treated in a unified manner, after which selected applications are analyzed, following an analysis of atmospheric effects and signal statistics. The material was developed during a one-semester course at M.I.T. in 1975, revised and presented again in 1976 at Lincoln Laboratory, and rewritten for publication in 1977. Chapter 1 reviews the derivation of Planck's thermal radiation law and also presents several fundamental concepts used throughout the text. These include the three thermal distribution laws (Boltzmann, Fermi-Dirac, Bose Einstein), spontaneous and stimulated emission, and the definition and counting of electromagnetic modes of space. Chapter 2 defines and analyzes the perfect photon detector and calculates the ultimate sensitivity in the presence of thermal radiation. In Chapter 3, we turn from incoherent or power detection to coherent or heterodyne detection and use the concept of orthogonal spatial modes to explain the antenna theorem and the mixing theorem. Chapters 4 through 6 then present a detailed analysis of the sensitivity of vacuum and semiconductor detectors, including the effects of amplifier noise.

Syntactic pattern recognition and applications

Author: King Sun Fu

Publisher: Prentice Hall


Category: Computers

Page: 596

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Discusses theoretical methods & applications: character recognition, medical diagnosis, remote sensing, speech recognition & fingerprint identification. Includes background information on formal language theory & syntax analysis. Reviews decision-theoretic pattern recognition methods.