Pattern recognition theory and application

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Nova Science Publishers , New York
Pattern recognition sy
StatementErwin A. Zoeller, Editor.
ContributionsZoeller, Erwin A.
Classifications
LC ClassificationsTK7882.P3 P397 2007
The Physical Object
Paginationp. cm.
ID Numbers
Open LibraryOL17907379M
ISBN 101600217176
ISBN 139781600217173
LC Control Number2007017808

Pattern Recognition studies the operation and design of systems that recognise patterns in data. It encloses subdisciplines like discriminant analysis Pattern Recognition: Theory and Application: Erwin A.

Zoeller: : BooksAuthor: Erwin A. Zoeller. Pattern recognition is a fairly diverse field involving researchers whose primary disciplines spread over at least a half dozen fields.

Possibly because of the great diversity of backgrounds but a common interest in certain broad areas of application, the field has grown so rapidly and yet seems to promise at least a similar growth rate for the : Paperback.

This book is the outcome of a NATO Advanced Study Institute on Pattern Recog­ nition Theory and Applications held in Spa-Balmoral, Belgium, in June This Institute was the third of a series which started in in Bandol, France, at the initia­ tive of Professors K.

Fu and A.

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Whinston, and continued in in Oxford, UK, with Price: $ This book is the outcome of a NATO Advanced Study Institute on Pattern Recog­ nition Theory and Applications held in Spa-Balmoral, Belgium, in June This Institute was the third of a series which started in in Bandol, France, at the initia­ tive of Professors K.

Fu and A. This book is the outcome of a NATO Advanced Study Institute on Pattern Recog­ nition Theory and Applications held in Spa-Balmoral, Belgium, in June This Institute was the third of a series which started in in Bandol, France, at the initia­ tive of Professors K.

Fu and A. Whinston, and. This book is the outcome of the successful NATO Advanced Study Institute on Pattern Recognition Theory and Applications, held at St. Anne's College, Oxford, in AprilThe aim of the meeting was to review the recent advances in the theory of pattern recognition and to assess its current and future practical potential.

Introduction This book is the outcome of the successful NATO Advanced Study Institute on Pattern Recognition Theory and Applications, held at St. Anne's College, Oxford, in AprilThe aim of the meeting was to review the recent advances in the theory of pattern recognition and to assess its current and future practical potential.

This book is the outcome of a NATO Advanced Study Institute on Pattern Recog­ nition Theory and Applications held in Spa-Balmoral, Belgium, in June This Institute was the third of a series which started in in Bandol, France, at the initia­ tive of Professors K.

Fu and A. Whinston, and continued in in Oxford, UK, with. This book contains revised and extended versions of selected papers from the 7th International Conference on Pattern Recognition, ICPRAMheld in Porto, Portugal, in January The 10 full papers presented were carefully reviewed and selected from initial submissions.

Pattern recognition, despite its relatively short history, has already found practical application in many areas of human activity. Systems of pattern recognition usually support people in performing tasks related to ensuring security, including access to premises and devices, detection of unusual changes (e.g.

in medicine, cartography, geology), diagnosing technical conditions of devices, and Author: Andrzej Zak. Purchase Adaptive, Learning, and Pattern Recognition Systems; theory and applications, Volume 66 - 1st Edition.

Print Book & E-Book. ISBNBook Edition: 1. Reviews key applications of Markov models in automatic speech recognition, character and handwriting recognition, and the analysis of biological sequences Researchers, practitioners, and graduate students of pattern recognition will all find this book to be invaluable in aiding their understanding of the application of statistical methods in this by: This book contains revised and extended versions of selected papers from the 8th International Conference on Pattern Recognition, ICPRAMheld in Prague, Czech Republic, in February The 25 full papers presented together 52 short papers and 32 poster sessions were carefully reviewed and selected from initial submissions.

Description Pattern recognition theory and application PDF

Pattern recognition continued to be one of the important research fields in computer science and electrical engineering. Lots of new applications are emerging, and hence pattern analysis and synthesis become significant subfields in pattern recognition.

This book is an edited volume and has six chapters arranged into two sections, namely, pattern recognition analysis and pattern recognition Cited by: 1. Sparse Modeling: Theory, Algorithms, and Applications provides an introduction to the growing field of sparse modeling, including application examples, problem formulations that yield sparse solutions, algorithms for finding such solutions, and recent theoretical results on sparse recovery.

The book gets you up to speed on the latest sparsity-related developments and will motivate you to continue learning Cited by: The book provides a comprehensive view of Pattern Recognition concepts and methods, illustrated with real-life applications in several ar /5(3).

Theory of Cognitive Pattern Recognition, Pattern Recognition Techniques, Technology and Applications, Peng-Yeng Yin, IntechOpen, DOI: / Available from: Youguo Pi, Wenzhi Liao, Mingyou Liu and Jianping Lu (November 1st ).Cited by:   1) "Pattern Recognition and Machine Learning" by Christopher M.

Bishop Probably the best book in this field. The treatment is exhaustive, consumable-for-all and supported by ample examples and illustrations. Would suggest this as a primer. The aut.

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The actual use of Markov models in their three main application areas - namely speech recognition, handwriting recognition, and biological sequence analysis - is presented with examples of successful systems. Encompassing both Markov model theory and practise, this book addresses the needs of practitioners and researchers from the field.

From the book reviews: “The book is highly appropriate for researchers and practitioners dealing with pattern recognition in general and speech, character and handwriting recognition sequences, in particular.” (Catalin Stoean, zbMATH)Brand: Springer-Verlag London. Feature extraction and selection in pattern recognition are based on finding mathematical methods for reducing dimensionality of pattern representation.

A lower-dimensional representation based on pattern descriptors is a so-called feature. It plays a crucial role in determining the separating properties of pattern.

The advent of computers increased the demand for practical applications of pattern recognition, which in turn set new demands for further theoretical developments.

Machine vision is an area in which pattern recognition is of importance. It also focuses on Optical character recognition (OCR) systems that are commercially available. Pattern Recognition Theory and Applications. [Pierre A Devijver; Josef Kittler] -- This book is the outcome of a NATO Advanced Study Institute on Pattern RecogƯ nition Theory and Applications held in Spa-Balmoral, Belgium, in June Pattern Recognition is a mature but exciting and fast developing field, which underpins developments in cognate fields such as computer vision, image processing, text and document analysis and neural networks.

It is closely akin to machine learning, and also finds applications in fast emerging areas such as biometrics, bioinformatics. ISBN: OCLC Number: Description: xii, pages: illustrations (some color) ; 27 cm: Contents: Ch.

Aspects of Quantum Pattern Recognition / Fariel Shafee --Ch. ic Dynamic Filtering for Data-Driven Pattern Recognition / Shalabh Gupta and Asok Ray --Ch. 3a.A Vision-Based Travel Aid for the Blind / Mu-Chun Su, Yi-Zeng Hsieh, De-Yuan.

This book is a reliable account of the statistical framework for pattern recognition and machine learning. With unparalleled coverage and a wealth of case-studies this book gives valuable insight into both the theory and the enormously diverse applications (which can be found in remote sensing, astrophysics, engineering and medicine, for example).Cited by: Neural Networks for Pattern Recognition.

Neural Networks for Pattern Recognition. Neural Networks for Pattern Recognition (Contd.) Neural Networks for Pattern Recognition (Contd.) RBF Neural Network. RBF Neural Network. RBF Neural Network (Contd.) Support Vector Machine. Support Vector Machine. Hyperbox Classifier.

Hyperbox Classifier. The NATO Advanced Study Institute From Statistics to Neural Networks, Theory and Pattern Recognition Applications took place in Les Arcs, Bourg Saint Maurice, France, from June 21 through July 2, The meeting brought to­ gether over participants (including 19 invited lecturers) from NATO Advanced Study Institute on Pattern Recognition Theory and Applications ( Spa, Belgium).

Pattern recognition theory and applications. Berlin ; New York: Springer-Verlag, © (OCoLC) Material Type: Conference publication: Document Type: Book: All Authors /.

Psychological Processes in Pattern Recognition describes information-processing models of pattern recognition. This book is organized into five parts encompassing 11 chapters that particularly focus on visual pattern recognition and the many issues relevant to a more general theory of pattern recognition.

The first three parts cover the Book Edition: 1. Pattern recognition is an integral part of most machine intelligence systems built for decision making. Machine vision is an area in which pattern recognition is of importance.

A typical application of a machine vision system is in the manufacturing industry, either for automated visual inspection or for automation in the assembly line.One of the important aspects of the pattern recognition is its application potential.

Examples: Speech recognition, speaker identification, multimedia document recognition (MDR), automatic medical diagnosis. In a typical pattern recognition application, the raw data is processed and converted into a form that is amenable for a machine to use.The book provides a comprehensive view of Pattern Recognition concepts and methods, illustrated with real-life applications in several areas.

It is appropriate as a textbook of Pattern Recognition courses and also for professionals and researchers who need to apply Pattern Recognition techniques.

These are explained in a unified an innovative way, with multiple examples enhacing the.