Digital Geometry in Image Processing, Mukhopadhyay, Jayanta , Das, Partha Pratim , Cha

Автор: Watrous, John (university Of Waterloo, Ontario)
Название: The theory of quantum information
ISBN: 1107180562 ISBN-13(EAN): 9781107180567
Издательство: Cambridge Academ
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Цена: 77090.00 T
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Описание: Intended for graduate students and researchers, this book presents a formal development of the mathematical theory of quantum information. Largely self-contained, with clear proofs and a wide range of exercises, it will help the reader grasp the fundamental facts and techniques that form the mathematical foundations of the subject.

Автор: Hayes, Monson H.
Название: Statistical digital signal processing and modeling
ISBN: 0471594318 ISBN-13(EAN): 9780471594314
Издательство: Wiley
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Цена: 304240.00 T
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Описание: This book responds to the dramatic growth in digital signal processing (DSP) over the past decade. While its focal point is signal modeling, the book integrates and explores the relationships of signal modeling to the important problems of optimal filtering, spectral estimation, and adaptive filtering.

Автор: Surekha Borra
Название: Digital Image Watermarking
ISBN: 1138390631 ISBN-13(EAN): 9781138390638
Издательство: Taylor&Francis
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Цена: 63280.00 T
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Описание: This book covers the introduction of and state-of-the-art watermarking techniques developed in various domains along with their hardware implementations. It explains how bio-inspiring techniques can find optimum solutions for image watermarking issues. The book also covers the applications, difficulties and challenges faced by such algorithms.

Автор: Barfoot Timothy D
Название: State Estimation for Robotics
ISBN: 1107159393 ISBN-13(EAN): 9781107159396
Издательство: Cambridge Academ
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Цена: 95030.00 T
Наличие на складе: Невозможна поставка.
Описание: This book is intended for students and practitioners of robotics who are interested in using noisy sensor data to estimate the position, orientation, and other state variables of robots as they move through the three-dimensional world. It covers classical and modern techniques commonly used in robotics today.

Автор: Damir Gainanov
Название: Graphs for Pattern Recognition: Infeasible Systems of Linear Inequalities
ISBN: 3110480131 ISBN-13(EAN): 9783110480139
Издательство: Walter de Gruyter
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Цена: 123910.00 T
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Описание: This monograph deals with mathematical constructions that are foundational in such an important area of data mining as pattern recognition. By using combinatorial and graph theoretic techniques, a closer look is taken at infeasible systems of linear inequalities, whose generalized solutions act as building blocks of geometric decision rules for pattern recognition.Infeasible systems of linear inequalities prove to be a key object in pattern recognition problems described in geometric terms thanks to the committee method. Such infeasible systems of inequalities represent an important special subclass of infeasible systems of constraints with a monotonicity property - systems whose multi-indices of feasible subsystems form abstract simplicial complexes (independence systems), which are fundamental objects of combinatorial topology.The methods of data mining and machine learning discussed in this monograph form the foundation of technologies like big data and deep learning, which play a growing role in many areas of human-technology interaction and help to find solutions, better solutions and excellent solutions. Contents: PrefacePattern recognition, infeasible systems of linear inequalities, and graphsInfeasible monotone systems of constraintsComplexes, (hyper)graphs, and inequality systemsPolytopes, positive bases, and inequality systemsMonotone Boolean functions, complexes, graphs, and inequality systemsInequality systems, committees, (hyper)graphs, and alternative coversBibliographyList of notationIndex

Автор: Paul Rosin; Andrew Adamatzky; Xianfang Sun
Название: Cellular Automata in Image Processing and Geometry
ISBN: 3319064304 ISBN-13(EAN): 9783319064307
Издательство: Springer
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Цена: 139310.00 T
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Описание: The book presents findings, views and ideas on what exact problems of image processing, pattern recognition and generation can be efficiently solved by cellular automata architectures.

Автор: Paul Rosin; Andrew Adamatzky; Xianfang Sun
Название: Cellular Automata in Image Processing and Geometry
ISBN: 3319356321 ISBN-13(EAN): 9783319356327
Издательство: Springer
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Цена: 104480.00 T
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Описание: The book presents findings, views and ideas on what exact problems of image processing, pattern recognition and generation can be efficiently solved by cellular automata architectures.

Автор: Wilhelm Burger; Mark James Burge
Название: Principles of Digital Image Processing
ISBN: 1848001908 ISBN-13(EAN): 9781848001909
Издательство: Springer
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Цена: 35390.00 T
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Описание: This easy-to-follow textbook provides a modern, algorithmic introduction to digital image processing. It concentrates on practical applications and working implementations whilst also presenting important formal details and the necessary mathematics.

Автор: Wilhelm Burger; Mark James Burge
Название: Principles of Digital Image Processing: Core Algorithms
ISBN: 1848001940 ISBN-13(EAN): 9781848001947
Издательство: Springer
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Цена: 41920.00 T
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Описание: Offers a modern, algorithmic introduction to digital image processing, designed to be used both by learners desiring a firm foundation on which to build, and practitioners in search of critical analysis and modern implementations of the most important techniques.

Автор: Dahlhaus
Название: Mathematical methods in time series analysis and digital image processing
ISBN: 3540756310 ISBN-13(EAN): 9783540756316
Издательство: Springer
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Цена: 111790.00 T
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Описание: Intends to bring together research directions in theoretical signal and imaging processing developed rather independently in electrical engineering, theoretical physics, mathematics and the computer sciences. This book summarizes work carried out in the field of theoretical signal and image processing.