Syntactic And Structural Pattern Recognition

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Syntactic and Structural Pattern Recognition

Author : Horst Bunke,Alberto Sanfeliu
Publisher : World Scientific
Page : 568 pages
File Size : 50,5 Mb
Release : 1990
Category : Computers
ISBN : 9971505665

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Syntactic and Structural Pattern Recognition by Horst Bunke,Alberto Sanfeliu Pdf

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.

Syntactic and Structural Pattern Recognition

Author : Gabriel Ferrate,Theo Pavlidis,Alberto Sanfeliu,Horst Bunke
Publisher : Springer Science & Business Media
Page : 456 pages
File Size : 55,8 Mb
Release : 2012-12-06
Category : Computers
ISBN : 9783642834622

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Syntactic and Structural Pattern Recognition by Gabriel Ferrate,Theo Pavlidis,Alberto Sanfeliu,Horst Bunke Pdf

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.

Structural, Syntactic, and Statistical Pattern Recognition

Author : Terry Caelli,Adnan Amin,Robert P.W. Duin,Mohamed Kamel,Dick de Ridder
Publisher : Springer
Page : 866 pages
File Size : 41,9 Mb
Release : 2003-08-02
Category : Computers
ISBN : 9783540706595

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Structural, Syntactic, and Statistical Pattern Recognition by Terry Caelli,Adnan Amin,Robert P.W. Duin,Mohamed Kamel,Dick de Ridder Pdf

This volume contains all papers presented at SSPR 2002 and SPR 2002 hosted by the University of Windsor, Windsor, Ontario, Canada, August 6-9, 2002. This was the third time these two workshops were held back-to-back. SSPR was the ninth International Workshop on Structural and Syntactic Pattern Recognition and the SPR was the fourth International Workshop on Statis- cal Techniques in Pattern Recognition. These workshops have traditionally been held in conjunction with ICPR (International Conference on Pattern Recog- tion), and are the major events for technical committees TC2 and TC1, resp- tively, of the International Association of Pattern Recognition (IAPR). The workshops were held in parallel and closely coordinated. This was an attempt to resolve the dilemma of how to deal, in the light of the progressive specialization of pattern recognition, with the need for narrow-focus workshops without further fragmenting the ?eld and introducing yet another conference that would compete for the time and resources of potential participants. A total of 116 papers were received from many countries with the submission and reviewingprocesses beingcarried out separately for each workshop. A total of 45 papers were accepted for oral presentation and 35 for posters. In addition four invited speakers presented informative talks and overviews of their research. They were: Tom Dietterich, Oregon State University, USA Sven Dickinson, the University of Toronto, Canada Edwin Hancock, University of York, UK Anil Jain, Michigan State University, USA SSPR 2002 and SPR 2002 were sponsored by the IAPR and the University of Windsor.

Handbook Of Pattern Recognition And Computer Vision (2nd Edition)

Author : Chi Hau Chen,Louis-francois Pau,Patrick S P Wang
Publisher : World Scientific
Page : 1045 pages
File Size : 43,8 Mb
Release : 1999-03-12
Category : Computers
ISBN : 9789814497640

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Handbook Of Pattern Recognition And Computer Vision (2nd Edition) by Chi Hau Chen,Louis-francois Pau,Patrick S P Wang Pdf

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.

Syntactic Pattern Recognition

Author : Flasinski Mariusz
Publisher : World Scientific
Page : 404 pages
File Size : 44,9 Mb
Release : 2019-03-25
Category : Computers
ISBN : 9789813278486

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Syntactic Pattern Recognition by Flasinski Mariusz Pdf

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.

Syntactic Pattern Recognition, Applications

Author : K.S. Fu
Publisher : Springer Science & Business Media
Page : 278 pages
File Size : 47,7 Mb
Release : 2012-12-06
Category : Science
ISBN : 9783642664380

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Syntactic Pattern Recognition, Applications by K.S. Fu Pdf

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.

Structural Pattern Recognition

Author : T. Pavlidis
Publisher : Springer
Page : 316 pages
File Size : 54,9 Mb
Release : 2013-12-21
Category : Science
ISBN : 9783642883040

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Structural Pattern Recognition by T. Pavlidis Pdf

Structural, Syntactic, and Statistical Pattern Recognition

Author : Ana Fred,Terry Caelli,Robert P.W. Duin,Aurélio Campilho,Dick de Ridder
Publisher : Springer Science & Business Media
Page : 1187 pages
File Size : 49,5 Mb
Release : 2004-07-28
Category : Computers
ISBN : 9783540225706

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Structural, Syntactic, and Statistical Pattern Recognition by Ana Fred,Terry Caelli,Robert P.W. Duin,Aurélio Campilho,Dick de Ridder Pdf

This book constitutes the refereed proceedings of the 10th International Workshop on Structural and Syntactic Pattern Recognition, SSPR 2004 and the 5th International Workshop on Statistical Techniques in Pattern Recognition, SPR 2004, held jointly in Lisbon, Portugal, in August 2004. The 59 revised full papers and 64 revised poster papers presented together with 4 invited papers were carefully reviewed and selected from 219 submissions. The papers are organized in topical sections on graphs; visual recognition and detection; contours, lines, and paths; matching and superposition; transduction and translation; image and video analysis; syntactics, languages, and strings; human shape and action; sequences and graphs; pattern matching and classification; document image analysis; shape analysis; multiple classifier systems; density estimation; clustering; feature selection; classification; and representation.

Structural, Syntactic, and Statistical Pattern Recognition

Author : Niels da Vitoria Lobo
Publisher : Springer Science & Business Media
Page : 1029 pages
File Size : 50,9 Mb
Release : 2008-11-24
Category : Computers
ISBN : 9783540896883

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Structural, Syntactic, and Statistical Pattern Recognition by Niels da Vitoria Lobo Pdf

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.

Structural, Syntactic, and Statistical Pattern Recognition

Author : Georgy Gimel ́farb,Edwin Hancock,Atsushi Imiya,Arjan Kuijper,Mineichi Kudo,Shinichiro Omachi,Terry Windeatt,Keiji Yamada
Publisher : Springer
Page : 755 pages
File Size : 43,7 Mb
Release : 2012-10-22
Category : Computers
ISBN : 9783642341663

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Structural, Syntactic, and Statistical Pattern Recognition by Georgy Gimel ́farb,Edwin Hancock,Atsushi Imiya,Arjan Kuijper,Mineichi Kudo,Shinichiro Omachi,Terry Windeatt,Keiji Yamada Pdf

This volume constitutes the refereed proceedings of the Joint IAPR International Workshops on Structural and Syntactic Pattern Recognition (SSPR 2012) and Statistical Techniques in Pattern Recognition (SPR 2012), held in Hiroshima, Japan, in November 2012 as a satellite event of the 21st International Conference on Pattern Recognition, ICPR 2012. The 80 revised full papers presented together with 1 invited paper and the Pierre Devijver award lecture were carefully reviewed and selected from more than 120 initial submissions. The papers are organized in topical sections on structural, syntactical, and statistical pattern recognition, graph and tree methods, randomized methods and image analysis, kernel methods in structural and syntactical pattern recognition, applications of structural and syntactical pattern recognition, clustering, learning, kernel methods in statistical pattern recognition, kernel methods in statistical pattern recognition, as well as applications of structural, syntactical, and statistical methods.

Structural, Syntactic, and Statistical Pattern Recognition

Author : Dit-Yan Yeung,James T. Kwok,Ana Fred,Fabio Roli,Dick de Ridder
Publisher : Springer
Page : 939 pages
File Size : 45,9 Mb
Release : 2006-08-09
Category : Computers
ISBN : 9783540372417

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Structural, Syntactic, and Statistical Pattern Recognition by Dit-Yan Yeung,James T. Kwok,Ana Fred,Fabio Roli,Dick de Ridder Pdf

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.

Advances in Structural and Syntactic Pattern Recognition

Author : H Bunke
Publisher : World Scientific
Page : 636 pages
File Size : 44,8 Mb
Release : 1993-02-23
Category : Electronic
ISBN : 9789814505154

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Advances in Structural and Syntactic Pattern Recognition by H Bunke Pdf

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:

Structural, Syntactic, and Statistical Pattern Recognition

Author : Pasi Fränti,Gavin Brown,Marco Loog,Francisco Escolano,Marcello Pelillo
Publisher : Springer
Page : 493 pages
File Size : 45,7 Mb
Release : 2014-08-13
Category : Computers
ISBN : 9783662444153

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Structural, Syntactic, and Statistical Pattern Recognition by Pasi Fränti,Gavin Brown,Marco Loog,Francisco Escolano,Marcello Pelillo Pdf

This book constitutes the proceedings of the Joint IAPR International Workshop on Structural, Syntactic, and Statistical Pattern Recognition, S+SSPR 2014; comprising the International Workshop on Structural and Syntactic Pattern Recognition, SSPR, and the International Workshop on Statistical Techniques in Pattern Recognition, SPR. The total of 25 full papers and 22 poster papers included in this book were carefully reviewed and selected from 78 submissions. They are organized in topical sections named: graph kernels; clustering; graph edit distance; graph models and embedding; discriminant analysis; combining and selecting; joint session; metrics and dissimilarities; applications; partial supervision; and poster session.