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Neural Networks for Pattern Recognition, Bishop, Christopher M.

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Цена: 4683р.
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Автор: Bishop, Christopher M.
Название:  Neural Networks for Pattern Recognition   (Кристофер М. Бишоп: Нейронные сети для распознавания образов)
Издательство: Oxford Academ
Классификация:
Вероятность и статистика
Искусственный интеллект
Распознавание образца

ISBN: 0198538642
ISBN-13(EAN): 9780198538646
ISBN: 0-19-853864-2
ISBN-13(EAN): 978-0-19-853864-6
Обложка/Формат: Paperback
Страницы: 504
Вес: 0.758 кг.
Дата издания: 23.11.1995
Серия: Statistics
Язык: ENG
Иллюстрации: Line figures
Размер: 23.37 x 15.77 x 2.74 cm
Читательская аудитория: Professional & vocational
Ссылка на Издательство: Link
Рейтинг:
Поставляется из: Англии
Описание: Providing a comprehensive account of neural networks from a statistical perspective, this book emphasizes on pattern recognition, which represents the area of greatest applicability for neural networks in contemporary times.
Дополнительное описание: Probability & statistics; Neural networks & fuzzy systems; Pattern recognition; Artificial intelligence




Pattern Recognition and Machine Learning

Автор: Bishop
Название: Pattern Recognition and Machine Learning
ISBN: 0387310738 ISBN-13(EAN): 9780387310732
Издательство: Springer
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Цена: 6634 р.
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Описание: The dramatic growth in practical applications for machine learning over the last ten years has been accompanied by many important developments in the underlying algorithms and techniques. For example, Bayesian methods have grown from a specialist niche to become mainstream, while graphical models have emerged as a general framework for describing and applying probabilistic techniques. The practical applicability of Bayesian methods has been greatly enhanced by the development of a range of approximate inference algorithms such as variational Bayes and expectation propagation, while new models based on kernels have had a significant impact on both algorithms and applications.A forthcoming companion volume will deal with practical aspects of pattern recognition and machine learning, and will include free software implementations of the key algorithms along with example data sets and demonstration programs.Christopher Bishop is Assistant Director at Microsoft Research Cambridge, and also holds a Chair in Computer Science at the University of Edinburgh. He is a Fellow of Darwin College Cambridge, and was recently elected Fellow of the Royal Academy of Engineering. The author's previous textbook "Neural Networks for Pattern Recognition" has been widely adopted.Coming soon:*For students, worked solutions to a subset of exercises available on a public web site (for exercises marked "www" in the text)*For instructors, worked solutions to remaining exercises from the Springer web site*Lecture slides to accompany each chapter*Data sets available for download

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: 3746 р.
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Описание: Now in paperback: the most 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). So that readers can develop their skills and understanding, many of the real data sets used in the book are available from the author’s website: www.stats.ox.ac.uk/~ripley/PRbook/. For the same reason, many examples are included to illustrate real problems in pattern recognition. Unifying principles are highlighted, and the author gives an overview of the state of the subject, making the book valuable to experienced researchers in statistics, machine learning/artificial intelligence and engineering. The clear writing style means that the book is also a superb introduction for non-specialists.

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: 2987 р.
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Описание: Introduction to Pattern Recognition: A Matlab Approach is an accompanying manual to Theodoridis/Koutroumbas' Pattern Recognition. It 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. This text is designed for electronic engineering, computer science, computer engineering, biomedical engineering and applied mathematics students taking graduate courses on pattern recognition and machine learning as well as R&D engineers and university researchers in image and signal processing/analyisis, and computer vision.

Introduction to neural networks

Автор: Gurney, Kevin
Название: Introduction to neural networks
ISBN: 1857285034 ISBN-13(EAN): 9781857285031
Издательство: Taylor&Francis
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Цена: 5015 р.
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Описание: This undergraduate text introduces the fundamentals of neural networks in a gentle but practical fashion with minimal mathematics. It should be of use to students of computer science and engineering, and graduate students in the allied neural

Advances in pattern recognition - proceedings of the 6th international conference

Название: Advances in pattern recognition - proceedings of the 6th international conference
ISBN: 9812705538 ISBN-13(EAN): 9789812705532
Издательство: World Scientific Publishing
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Цена: 19793 р.
Наличие на складе: Поставка под заказ.

Описание: This volume contains the latest in the series of ICAPR proceedings on the state-of-the-art of different facets of pattern recognition. These conferences have already carved out a unique position among events attended by the pattern recognition community. The contributions tackle open problems in the classic fields of image and video processing, document analysis and multimedia object retrieval as well as more advanced topics in biometrics speech and signal analysis. Many of the papers focus both on theory and application driven basic research pattern recognition.

Image pattern recognition: synthesis and analysis in biometrics

Название: Image pattern recognition: synthesis and analysis in biometrics
ISBN: 9812569081 ISBN-13(EAN): 9789812569080
Издательство: World Scientific Publishing
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Цена: 17121 р.
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Описание: The field of biometrics utilizes computer models of the physical and behavioral characteristics of human beings with a view to reliable personal identification. The human characteristics of interest include visual images, speech, and indeed anything which might help to uniquely identify the individual.The other side of the biometrics coin is biometric synthesis - rendering biometric phenomena from their corresponding computer models. For example, we could generate a synthetic face from its corresponding computer model. Such a model could include muscular dynamics to model the full gamut of human emotions conveyed by facial expressions.This book is a collection of carefully selected papers presenting the fundamental theory and practice of various aspects of biometric data processing in the context of pattern recognition. The traditional task of biometric technologies - human identification by analysis of biometric data - is extended to include the new discipline of biometric synthesis.

Fuzzy Models and Algorithms for Pattern Recognition and Image Processing

Автор: Bezdek
Название: Fuzzy Models and Algorithms for Pattern Recognition and Image Processing
ISBN: 0387245154 ISBN-13(EAN): 9780387245157
Издательство: Springer
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Цена: 15894 р.
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Описание: "Fuzzy Models and Algorithms for Pattern Recognition and Image Processing" presents a comprehensive introduction of the use of fuzzy models in pattern recog ition and selected topics in image processing and computer vision. Unique to this volume in the "Kluwer Handbooks of Fuzzy Sets Series" is the fact that this book was written in its entirety by its four authors. A single notation, presentation style, and purpose are used throughout.

The result is an extensive unified treatment of many fuzzy models for pattern recognition. The main topics are clustering and classifier design, with extensive material on feature analysis relational clustering, image processing and computer vision. Also included are numerous figures, images and numerical examples that illustrate the use of various models involving applications in medicine, character and word recognition, remote sensing, military image analysis, and industrial engineering.

Applied Pattern Recognition

Автор: Bunke
Название: Applied Pattern Recognition
ISBN: 3540768300 ISBN-13(EAN): 9783540768302
Издательство: Springer
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Цена: 15728 р.
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Описание: A sharp increase in the computing power of modern computers has triggered the development of extremely powerful algorithms. This book intends to cover some of the application domains of pattern recognition while presenting novel techniques that have been developed or customized in those domains.

Information Theory in Computer Vision and Pattern Recognition

Автор: Francisco Escolano; Pablo Suau; Boyan Bonev
Название: Information Theory in Computer Vision and Pattern Recognition
ISBN: 1848822960 ISBN-13(EAN): 9781848822962
Издательство: Springer
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Цена: 9345 р.
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Описание: Researchers are bringing information theory elements to the computer vision and pattern recognition (CVPR) arena. Among these elements there are measures (entropy, mutual information), principles (maximum entropy, minimax entropy) and theories (rate distortion theory, method of types). This book explores the latter elements.

Chemometrics for Pattern Recognition

Название: Chemometrics for Pattern Recognition
ISBN: 0470987251 ISBN-13(EAN): 9780470987254
Издательство: Wiley
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Цена: 10450 р.
Наличие на складе: Поставка под заказ.

Описание: Pattern recognition has been one of the fastest growth points in chemometrics. This title includes `Real world` pattern recognition case studies from a wide variety of sources including biology, medicine, materials, pharmaceuticals, food, forensics and environmental science. It is suitable for chemometricians and analytical scientists.

Dynamic Fuzzy Pattern Recognition with Applications to Finance and Engineering

Автор: Angstenberger Larisa
Название: Dynamic Fuzzy Pattern Recognition with Applications to Finance and Engineering
ISBN: 0792375033 ISBN-13(EAN): 9780792375036
Издательство: Springer
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Цена: 15427 р.
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Описание: Dynamic Fuzzy Pattern Recognition with Applications to Finance and Engineering focuses on fuzzy clustering methods which have proven to be very powerful in pattern recognition and considers the entire process of dynamic pattern recognition. This book sets a general framework for Dynamic Pattern Recognition, describing in detail the monitoring process using fuzzy tools and the adaptation process in which the classifiers have to be adapted, using the observations of the dynamic process. It then focuses on the problem of a changing cluster structure (new clusters, merging of clusters, splitting of clusters and the detection of gradual changes in the cluster structure). Finally, the book integrates these parts into a complete algorithm for dynamic fuzzy classifier design and classification.

Pattern Recognition,

Автор: Sergios Theodoridis
Название: Pattern Recognition,
ISBN: 1597492728 ISBN-13(EAN): 9781597492720
Издательство: Elsevier Science
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Цена: 8410 р.
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Описание: This book considers classical and current theory and practice, of supervised, unsupervised and semi-supervised pattern recognition, to build a complete background for professionals and students of engineering. The authors, leading experts in the field of pattern recognition, have provided an up-to-date, self-contained volume encapsulating this wide spectrum of information. The very latest methods are incorporated in this edition: semi-supervised learning, combining clustering algorithms, and relevance feedback. . · Thoroughly developed to include many more worked examples to give greater understanding of the various methods and techniques. . · Many more diagrams included--now in two color--to provide greater insight through visual presentation. . . · Matlab code of the most common methods are given at the end of each chapter. . . . . . · More Matlab code is available, together with an accompanying manual, via this site . . . . · Latest hot topics included to further the reference value of the text including non-linear dimensionality reduction techniques, relevance feedback, semi-supervised learning, spectral clustering, combining clustering algorithms. . · An accompanying book with Matlab code of the most common methods and algorithms in the book, together with a descriptive summary, and solved examples including real-life data sets in imaging, and audio recognition. The companion book will be available separately or at a special packaged price (ISBN: 9780123744869).


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