Shape Structure And Pattern Recognition
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Shape Structure And Pattern Recognition
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Author : Horst Bunke
language : en
Publisher: World Scientific
Release Date : 1995-06-29
Shape Structure And Pattern Recognition written by Horst Bunke and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 1995-06-29 with categories.
The book is an extensive compilation of the papers presented at the IAPR International Workshop on Structural and Syntactic Pattern Recognition SSPR'94. It includes a preface by Professor Herbert Freeman, who is the recipient of the IAPR King Sun Fu Award for 1994. The book is divided into four parts and covers state-of-the art topics related to a variety of aspects of pattern recognition.
Shape Structure And Pattern Recognition
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Author : Horst Bunke
language : en
Publisher:
Release Date : 1995
Shape Structure And Pattern Recognition written by Horst Bunke and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1995 with COMPUTERS categories.
Advances In Structural And Syntactical Pattern Recognition
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Author : Petra Perner
language : en
Publisher: Springer Science & Business Media
Release Date : 1996-08-07
Advances In Structural And Syntactical Pattern Recognition written by Petra Perner and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 1996-08-07 with Computers categories.
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.
Structural Syntactic And Statistical Pattern Recognition
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Author : Ana Fred
language : en
Publisher: Springer Science & Business Media
Release Date : 2004-07-28
Structural Syntactic And Statistical Pattern Recognition written by Ana Fred and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004-07-28 with Computers categories.
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.
Syntactic And Structural Pattern Recognition
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Author : Horst Bunke
language : en
Publisher: World Scientific
Release Date : 1990
Syntactic And Structural Pattern Recognition written by Horst Bunke and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 1990 with Computers categories.
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.
Structural Pattern Recognition
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Author : T. Pavlidis
language : en
Publisher: Springer
Release Date : 2013-12-21
Structural Pattern Recognition written by T. Pavlidis and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-12-21 with Science categories.
Advances In Structural And Syntactic Pattern Recognition
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Author : H Bunke
language : en
Publisher: World Scientific
Release Date : 1993-02-23
Advances In Structural And Syntactic Pattern Recognition written by H Bunke and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 1993-02-23 with categories.
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
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Author : Niels da Vitoria Lobo
language : en
Publisher: Springer Science & Business Media
Release Date : 2008-11-24
Structural Syntactic And Statistical Pattern Recognition written by Niels da Vitoria Lobo and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-11-24 with Computers categories.
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
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Author : Xiao Bai
language : en
Publisher: Springer
Release Date : 2018-08-10
Structural Syntactic And Statistical Pattern Recognition written by Xiao Bai and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-08-10 with Computers categories.
This book constitutes the proceedings of the Joint IAPR International Workshop on Structural, Syntactic, and Statistical Pattern Recognition, S+SSPR 2018, held in Beijing, China, in August 2018. The 49 papers presented in this volume were carefully reviewed and selected from 75 submissions. They were organized in topical sections named: classification and clustering; deep learning and neurla networks; dissimilarity representations and Gaussian processes; semi and fully supervised learning methods; spatio-temporal pattern recognition and shape analysis; structural matching; multimedia analysis and understanding; and graph-theoretic methods.
Syntactic And Structural Pattern Recognition
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Author : Gabriel Ferrate
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06
Syntactic And Structural Pattern Recognition written by Gabriel Ferrate and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Computers categories.
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.