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Digital Geometry Algorithms, Valentin E. Brimkov; Reneta P. Barneva


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Автор: Valentin E. Brimkov; Reneta P. Barneva
Название:  Digital Geometry Algorithms
ISBN: 9789400799585
Издательство: Springer
Классификация:






ISBN-10: 9400799586
Обложка/Формат: Paperback
Страницы: 430
Вес: 0.61 кг.
Дата издания: 11.06.2014
Серия: Lecture Notes in Computational Vision and Biomechanics
Язык: English
Размер: 234 x 156 x 23
Основная тема: Engineering
Подзаголовок: Theoretical Foundations and Applications to Computational Imaging
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: The first publication to explicitly focus on presenting the key algorithms in digital geometry, this book aims to provide rigorous theoretical foundations for devising new advanced approaches and algorithms for various problems of visual computing.

Information Theory, Inference and Learning Algorithms

Автор: David J. C. MacKay
Название: Information Theory, Inference and Learning Algorithms
ISBN: 0521642981 ISBN-13(EAN): 9780521642989
Издательство: Cambridge Academ
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Цена: 60190.00 T
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Описание: This exciting and entertaining textbook is ideal for courses in information, communication and coding. It is an unparalleled entry point to these subjects for professionals working in areas as diverse as computational biology, data mining, financial engineering and machine learning.

Algorithms in Bioinformatics

Автор: Sung
Название: Algorithms in Bioinformatics
ISBN: 1420070339 ISBN-13(EAN): 9781420070330
Издательство: Taylor&Francis
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Цена: 91860.00 T
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Описание: Presents an introduction to the algorithmic techniques applied in bioinformatics. For each topic, this title details the biological motivation, defines the corresponding computational problems, and includes examples to illustrate each algorithm.

Digital Compositing with Nuke,

Автор: Lee Lanier
Название: Digital Compositing with Nuke,
ISBN: 0240820355 ISBN-13(EAN): 9780240820354
Издательство: Taylor&Francis
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Цена: 51030.00 T
Наличие на складе: Нет в наличии.
Описание: For novice compositors and veterans moving over from Shake or After Effects, this book is the essential guide for learning Nuke, the powerful, node-based compositing software and standard choice for the VFX industry. It provides a complete overview of the Nuke software, from an introduction to the user interface to more complex compositing tasks.

Fundamentals of Machine Learning for Predictive Data Analytics: Algorithms, Worked Examples, and Case Studies

Автор: Kelleher John D., Macnamee Brian, D`Arcy Aoife
Название: Fundamentals of Machine Learning for Predictive Data Analytics: Algorithms, Worked Examples, and Case Studies
ISBN: 0262029448 ISBN-13(EAN): 9780262029445
Издательство: MIT Press
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Цена: 90290.00 T
Наличие на складе: Нет в наличии.
Описание:

A comprehensive introduction to the most important machine learning approaches used in predictive data analytics, covering both theoretical concepts and practical applications.

Machine learning is often used to build predictive models by extracting patterns from large datasets. These models are used in predictive data analytics applications including price prediction, risk assessment, predicting customer behavior, and document classification. This introductory textbook offers a detailed and focused treatment of the most important machine learning approaches used in predictive data analytics, covering both theoretical concepts and practical applications. Technical and mathematical material is augmented with explanatory worked examples, and case studies illustrate the application of these models in the broader business context.

After discussing the trajectory from data to insight to decision, the book describes four approaches to machine learning: information-based learning, similarity-based learning, probability-based learning, and error-based learning. Each of these approaches is introduced by a nontechnical explanation of the underlying concept, followed by mathematical models and algorithms illustrated by detailed worked examples. Finally, the book considers techniques for evaluating prediction models and offers two case studies that describe specific data analytics projects through each phase of development, from formulating the business problem to implementation of the analytics solution. The book, informed by the authors' many years of teaching machine learning, and working on predictive data analytics projects, is suitable for use by undergraduates in computer science, engineering, mathematics, or statistics; by graduate students in disciplines with applications for predictive data analytics; and as a reference for professionals.


Digital Painting Techniques

Автор: 3DTotal.com
Название: Digital Painting Techniques
ISBN: 0240521749 ISBN-13(EAN): 9780240521749
Издательство: Taylor&Francis
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Цена: 47970.00 T
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Описание: Start your mentorship into the world of digital painting today with some of the greatest digital artists in the world and delve into professional digital painting techiques, such as speed painting, custom brush creation and matte painting.

Algorithms in Combinatorial Geometry

Автор: Edelsbrunner Herbert
Название: Algorithms in Combinatorial Geometry
ISBN: 3642648738 ISBN-13(EAN): 9783642648731
Издательство: Springer
Цена: 121070.00 T
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Algorithms for Obstetrics and Gynaecology

Автор: Mukhopadhyay Sambit, Morris Edward, Arulkumaran Sa
Название: Algorithms for Obstetrics and Gynaecology
ISBN: 0199651396 ISBN-13(EAN): 9780199651399
Издательство: Oxford Academ
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Цена: 51730.00 T
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Описание: Algorithms in Obstetrics and Gynaecology presents the core knowledge needed to tackle all situations in obstetrics and gynaecology, in a structured fashion. All algorithms are designed to support rapid decision making in the most clinically relevant situations to minimise the risks of a poor outcome.

Algorithms in Algebraic Geometry and Applications

Автор: Laureano Gonzalez-Vega; Recio Tomas
Название: Algorithms in Algebraic Geometry and Applications
ISBN: 3034899084 ISBN-13(EAN): 9783034899086
Издательство: Springer
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Цена: 93160.00 T
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Описание: This volume arises from the contributions presented at the MEGA 94 Con- ference (Metodos Efectivos en Geomctria Algebraica = Effective Methods in Algebraic Geometry), held at the University of Cantabria (Santander, Spain) April 59, 1994. Previous sessions of this biannual conference had taken place in Castiglioncello (Livorno, Italy, 1990) and in Nice (France, 1992) and the cor- responding proceedings have been published in the Birkhauser series Progress in Mathematics. volumes no. 94 and 109, respectively. The present collection consists of twenty articles involvillg miscellaneous topics concerning algorithms in algebra, algebraic geometry and related appli- cations. Fourteen of these papers correspond to the contents of the Conference's regular scientific program and have been selected, by the MEGA Committee, from the submitted contributions after a very rigorous refereeing procedure entailing an average of three independent reports per paper and two Program Committee panel discussions before and after the Conference. The remaining six papers (by S. Beck & M. Kreuzer, M. Bronstein, E. V. Flvnn. 1. Itenberg, J.-P. Merlet and 1\1. Seppala) correspond to invited talks and have also been subject to a post-conference refereeing procedure.

Algorithms in Algebraic Geometry

Автор: Alicia Dickenstein; Frank-Olaf Schreyer; Andrew J.
Название: Algorithms in Algebraic Geometry
ISBN: 144192583X ISBN-13(EAN): 9781441925831
Издательство: Springer
Цена: 121110.00 T
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Описание:

In the last decade, there has been a burgeoning of activity in the design and implementation of algorithms for algebraic geometric computation. The workshop on Algorithms in Algebraic Geometry that was held in the framework of the IMA Annual Program Year in Applications of Algebraic Geometry by the Institute for Mathematics and Its Applications on September 2006 is one tangible indication of the interest. This volume of articles captures some of the spirit of the IMA workshop.


Distributed Algorithms,

Автор: Nancy A. Lynch
Название: Distributed Algorithms,
ISBN: 1558603484 ISBN-13(EAN): 9781558603486
Издательство: Elsevier Science
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Цена: 136990.00 T
Наличие на складе: Поставка под заказ.
Описание: A guide to designing, implementing and analyzing distributed algorithms. It covers problems including resource allocation, communication, consensus among distributed processes, data consistency, deadlock detection, leader election and global snapshots.

Algorithms in Real Algebraic Geometry

Автор: Saugata Basu; Richard Pollack; Marie-Fran?oise Cos
Название: Algorithms in Real Algebraic Geometry
ISBN: 3642069649 ISBN-13(EAN): 9783642069642
Издательство: Springer
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Цена: 74530.00 T
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Описание:

The algorithmic problems of real algebraic geometry such as real root counting, deciding the existence of solutions of systems of polynomial equations and inequalities, finding global maxima or deciding whether two points belong in the same connected component of a semi-algebraic set appear frequently in many areas of science and engineering. In this textbook the main ideas and techniques presented form a coherent and rich body of knowledge.

Mathematicians will find relevant information about the algorithmic aspects. Researchers in computer science and engineering will find the required mathematical background.

Being self-contained the book is accessible to graduate students and even, for invaluable parts of it, to undergraduate students.

This second edition contains several recent results, on discriminants of symmetric matrices, real root isolation, global optimization, quantitative results on semi-algebraic sets and the first single exponential algorithm computing their first Betti number.


Towards Dynamic Randomized Algorithms in Computational Geometry

Автор: Monique Teillaud
Название: Towards Dynamic Randomized Algorithms in Computational Geometry
ISBN: 3540575030 ISBN-13(EAN): 9783540575030
Издательство: Springer
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Цена: 65210.00 T
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Описание: This monograph studies the theoretical complexity and practical efficiency of randomized dynamic algorithms.


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