Advances In Structural And Syntactical Pattern Recognition


Advances In Structural And Syntactical Pattern Recognition
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Advances In Structural And Syntactical Pattern Recognition


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.



Advances In Structural And Syntactic Pattern Recognition


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:



Advances In Structural And Syntactic Pattern Recognition


Advances In Structural And Syntactic Pattern Recognition
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Author : Horst Bunke
language : en
Publisher: World Scientific Publishing Company Incorporated
Release Date : 1992

Advances In Structural And Syntactic Pattern Recognition written by Horst Bunke and has been published by World Scientific Publishing Company Incorporated this book supported file pdf, txt, epub, kindle and other format this book has been release on 1992 with Computers categories.




Advances In Structural And Syntactical Pattern Recognition


Advances In Structural And Syntactical Pattern Recognition
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Author : Petra Perner
language : en
Publisher: Springer
Release Date : 2014-03-12

Advances In Structural And Syntactical Pattern Recognition written by Petra Perner and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-03-12 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.



Advances In Pattern Recognition


Advances In Pattern Recognition
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Author : Francesc J. Ferri
language : en
Publisher: Springer
Release Date : 2003-06-26

Advances In Pattern Recognition written by Francesc J. Ferri and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003-06-26 with Computers categories.


This book constitutes the joint refereed proceedings of the 8th International Workshop on Structural and Syntactic Pattern Recognition and the 3rd International Workshop on Statistical Techniques in Pattern Recognition, SSPR 2000 and SPR 2000, held in Alicante, Spain in August/September 2000. The 52 revised full papers presented together with five invited papers and 35 posters were carefully reviewed and selected from a total of 130 submissions. The book offers topical sections on hybrid and combined methods, document image analysis, grammar and language methods, structural matching, graph-based methods, shape analysis, clustering and density estimation, object recognition, general methodology, and feature extraction and selection.



Syntactic And Structural Pattern Recognition


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.



Advances In Pattern Recognition


Advances In Pattern Recognition
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Author : Francesc J. Ferri
language : en
Publisher: Springer Science & Business Media
Release Date : 2000-08-23

Advances In Pattern Recognition written by Francesc J. Ferri 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 2000-08-23 with Computers categories.


This book constitutes the joint refereed proceedings of the 8th International Workshop on Structural and Syntactic Pattern Recognition and the 3rd International Workshop on Statistical Techniques in Pattern Recognition, SSPR 2000 and SPR 2000, held in Alicante, Spain in August/September 2000. The 52 revised full papers presented together with five invited papers and 35 posters were carefully reviewed and selected from a total of 130 submissions. The book offers topical sections on hybrid and combined methods, document image analysis, grammar and language methods, structural matching, graph-based methods, shape analysis, clustering and density estimation, object recognition, general methodology, and feature extraction and selection.



Advances In Pattern Recognition


Advances In Pattern Recognition
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Author : Adnan Amin
language : en
Publisher: Springer Science & Business Media
Release Date : 1998-07-29

Advances In Pattern Recognition written by Adnan Amin 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 1998-07-29 with Computers categories.


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Syntactic And Structural Pattern Recognition


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.



Structural Syntactic And Statistical Pattern Recognition


Structural Syntactic And Statistical Pattern Recognition
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Author : Georgy Gimel ́farb
language : en
Publisher: Springer
Release Date : 2012-10-22

Structural Syntactic And Statistical Pattern Recognition written by Georgy Gimel ́farb and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-10-22 with Computers categories.


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.