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Advances in Visual Computing, Richard Boyle; Bahram Parvin; Darko Koracin; Nikos


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Цена: 19564.00р.
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Автор: Richard Boyle; Bahram Parvin; Darko Koracin; Nikos
Название:  Advances in Visual Computing
ISBN: 9783540768555
Издательство: Springer
Классификация:
ISBN-10: 3540768556
Обложка/Формат: Paperback
Страницы: 860
Вес: 1.31 кг.
Дата издания: 2007
Серия: Lecture notes in computer science / image processing, computer vision, pattern recognition, and graphics
Язык: English
Иллюстрации: Illustrations
Размер: 234 x 155 x 33
Читательская аудитория: Professional & vocational
Подзаголовок: Third international symposium, isvc 2007, lake tahoe, nv, usa, november 26-28, 2007, proceedings, part ii
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: Constitutes the refereed proceedings of the Third International Symposium on Visual Computing, ISVC 2007, held in Lake Tahoe, NV, USA in November 2007. This book presents 77 revised full papers and 42 poster papers together with 32 full and 5 poster papers of 6 special tracks that were reviewed and selected from more than 270 submissions.


Machine Learning

Автор: Marsland
Название: Machine Learning
ISBN: 1466583282 ISBN-13(EAN): 9781466583283
Издательство: Taylor&Francis
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Цена: 12095.00 р.
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Описание:

A Proven, Hands-On Approach for Students without a Strong Statistical Foundation

Since the best-selling first edition was published, there have been several prominent developments in the field of machine learning, including the increasing work on the statistical interpretations of machine learning algorithms. Unfortunately, computer science students without a strong statistical background often find it hard to get started in this area.

Remedying this deficiency, Machine Learning: An Algorithmic Perspective, Second Edition helps students understand the algorithms of machine learning. It puts them on a path toward mastering the relevant mathematics and statistics as well as the necessary programming and experimentation.

New to the Second Edition

  • Two new chapters on deep belief networks and Gaussian processes
  • Reorganization of the chapters to make a more natural flow of content
  • Revision of the support vector machine material, including a simple implementation for experiments
  • New material on random forests, the perceptron convergence theorem, accuracy methods, and conjugate gradient optimization for the multi-layer perceptron
  • Additional discussions of the Kalman and particle filters
  • Improved code, including better use of naming conventions in Python

Suitable for both an introductory one-semester course and more advanced courses, the text strongly encourages students to practice with the code. Each chapter includes detailed examples along with further reading and problems. All of the code used to create the examples is available on the author's website.

Advances in Unmanned Aerial Vehicles / State of the Art and the Road to Autonomy

Автор: Valavanis Kimon P.
Название: Advances in Unmanned Aerial Vehicles / State of the Art and the Road to Autonomy
ISBN: 1402061137 ISBN-13(EAN): 9781402061134
Издательство: Springer
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Цена: 28734.00 р.
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Описание: There has been tremendous emphasis in unmanned aerial vehicles, both of fixed (airplanes) and rotary wing (vertical take off and landing, helicopters) types over the past ten years. Applications span both civilian and military domains, the latter being the most important at this stage.


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