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Optical Character Recognition, Stephen V. Rice; George Nagy; Thomas A. Nartker


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Цена: 23751.00р.
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Автор: Stephen V. Rice; George Nagy; Thomas A. Nartker
Название:  Optical Character Recognition
ISBN: 9780792384922
Издательство: Springer
Классификация:
ISBN-10: 079238492X
Обложка/Формат: Hardcover
Страницы: 196
Вес: 0.58 кг.
Дата издания: 31.05.1999
Серия: The Springer International Series in Engineering and Computer Science
Язык: English
Размер: 254 x 178 x 13
Основная тема: Computer Science
Подзаголовок: An Illustrated Guide to the Frontier
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: Optical character recognition (OCR) is the most prominent and successful example of pattern recognition to date. This title offers a perspective on the performance of the OCR systems by illustrating and explaining actual OCR errors. It provides insights into the strengths and weaknesses of the OCR systems, and a road map to future progress.


Knowledge-Based Intelligent Techniques in Character Recognition

Автор: Jain
Название: Knowledge-Based Intelligent Techniques in Character Recognition
ISBN: 084939807X ISBN-13(EAN): 9780849398070
Издательство: Taylor&Francis
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Цена: 36749.00 р.
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Описание: Knowledge-Based Intelligent Techniques in Character Recognition presents research results on intelligent character recognition techniques, reflecting the tremendous worldwide interest in the applications of knowledge-based techniques in this challenging field.

Introduction to Pattern Recognition: A Matlab Approach,

Автор: Sergios Theodoridis
Название: Introduction to Pattern Recognition: A Matlab Approach,
ISBN: 0123744865 ISBN-13(EAN): 9780123744869
Издательство: Elsevier Science
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Цена: 5557.00 р.
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Описание: An accompanying manual to "Theodoridis/Koutroumbas, Pattern Recognition", that includes Matlab code of the most common methods and algorithms in the book, together with a descriptive summary and solved examples, and including real-life data sets in imaging and audio recognition.

Neural Networks for Pattern Recognition

Автор: Bishop, Christopher M.
Название: Neural Networks for Pattern Recognition
ISBN: 0198538642 ISBN-13(EAN): 9780198538646
Издательство: Oxford Academ
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Цена: 13939.00 р.
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Описание: This book is the first to provide a comprehensive account of neural networks from a statistical perspective. Its emphasis is on pattern recognition, which currently represents the area of greatest applicability for neural networks. By focusing on pattern recognition, the book provides a much more extensive treatment of many topics than is available in earlier books.

Matrix Methods in Data Mining and Pattern Recognition

Автор: Lars Eld?n
Название: Matrix Methods in Data Mining and Pattern Recognition
ISBN: 0898716268 ISBN-13(EAN): 9780898716269
Издательство: Cambridge Academ
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Цена: 9029.00 р.
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Описание: Several very powerful numerical linear algebra techniques are available for solving problems in data mining and pattern recognition. This application-oriented book describes how modern matrix methods can be used to solve these problems, gives an introduction to matrix theory and decompositions, and provides students with a set of tools that can be modified for a particular application. Part I gives a short introduction to a few application areas before presenting linear algebra concepts and matrix decompositions that students can use in problem-solving environments such as MATLAB. In Part II, linear algebra techniques are applied to data mining problems. Part III is a brief introduction to eigenvalue and singular value algorithms. The applications discussed include classification of handwritten digits, text mining, text summarization, pagerank computations related to the Google search engine, and face recognition. Exercises and computer assignments are available on a Web page that supplements the book.

Structural, Syntactic, and Statistical Pattern Recognition

Автор: Antonio Robles-Kelly; Marco Loog; Battista Biggio;
Название: Structural, Syntactic, and Statistical Pattern Recognition
ISBN: 3319490540 ISBN-13(EAN): 9783319490540
Издательство: Springer
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Цена: 10342.00 р.
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Описание: This book constitutes the proceedings of the Joint IAPR International Workshop on Structural Syntactic, and Statistical Pattern Recognition, S+SSPR 2016, consisting of the International Workshop on Structural and Syntactic Pattern Recognition SSPR, and the International Workshop on Statistical Techniques in Pattern Recognition, SPR.

Optical Character Recognition Systems for Different Languages with Soft Computing

Автор: Arindam Chaudhuri; Krupa Mandaviya; Pratixa Badeli
Название: Optical Character Recognition Systems for Different Languages with Soft Computing
ISBN: 3319502514 ISBN-13(EAN): 9783319502519
Издательство: Springer
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Цена: 19564.00 р.
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Описание: Mainly intended as state-of-the-art survey for postgraduates and researchers in pattern recognition, optical character recognition and soft computing, this book will be useful for professionals in computer vision and image processing alike, dealing with different issues related to optical character recognition.

Pattern Recognition and Neural Networks

Автор: Brian D. Ripley
Название: Pattern Recognition and Neural Networks
ISBN: 0521717701 ISBN-13(EAN): 9780521717700
Издательство: Cambridge Academ
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Цена: 7762.00 р.
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Описание: This 1996 book is a reliable account of the statistical framework for pattern recognition and machine learning. Valuable advice is included on both theory and applications, while case studies based on real data sets help readers develop their understanding. All data sets are available from www.stats.ox.ac.uk/~ripley/PRbook/

Pattern Recognition,

Автор: Sergios Theodoridis
Название: Pattern Recognition,
ISBN: 1597492728 ISBN-13(EAN): 9781597492720
Издательство: Elsevier Science
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Цена: 14483.00 р.
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Описание: Considers classical and theory and practice, of supervised, unsupervised and semi-supervised pattern recognition, to build a complete background for professionals and students of engineering. This book provides an self-contained volume encapsulating this spectrum of information.

Human Recognition in Unconstrained Environments

Автор: De Marsico, Maria
Название: Human Recognition in Unconstrained Environments
ISBN: 0081007051 ISBN-13(EAN): 9780081007051
Издательство: Elsevier Science
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Цена: 16843.00 р.
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Описание: In Beyond Valor lies the truth. In the city known as Etin, people come to be at peace and make an honest living under the queen`s rule. At the edge of this city, in a tavern deep in the forest, the queen sets an appointment with one of her loyalists: Bandit Shadow, known to many for his skills in battle. His name comes hard earned, even stolen from some of his victims. This meeting produces two more knights, Exo and Strawberry, and together they hunt for the elusive Templars to help restore the kingdom to its former glory. But this journey to find the most elite of knights is anything but smooth sailing. Betrayal, love, and other obstacles must be overcome on their way to the palace of the king. Many do not want the Templars resurrected, but these brave knights would give their all, if needed, to be of service to their queen.

Pattern Recognition and Image Analysis

Автор: Jorge S. Marques; Nicol?s P?rez de la Blanca; Pedr
Название: Pattern Recognition and Image Analysis
ISBN: 3540261532 ISBN-13(EAN): 9783540261537
Издательство: Springer
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Цена: 18167.00 р.
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Описание: Constitutes the proceedings of the Second Iberian Conference on Pattern Recognition and Image Analysis, IbPRIA 2005, held in Estoril, Portugal in June 2005. This set features papers that are organized in topical sections on computer vision, shape and matching, image and video processing, image and video coding, face recognition, and, robotics.

Correlation Pattern Recognition

Автор: Kumar
Название: Correlation Pattern Recognition
ISBN: 0521153484 ISBN-13(EAN): 9780521153485
Издательство: Cambridge Academ
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Цена: 8554.00 р.
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Описание: This book provides a needed review of the diverse background material needed for correlation pattern recognition, developing the signal processing theory, the pattern recognition metrics, and the practical application know-how from basic premises. Includes case studies of interest, such as face and fingerprint recognition. For graduate students and practitioners.


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