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Probabilistic Graphical Models for Computer Vision, Ji, Qiang


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Цена: 12125.00р.
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Автор: Ji, Qiang   (Цан Дзи)
Название:  Probabilistic Graphical Models for Computer Vision
Перевод названия: Цан Дзи: Вероятностные графические модели для компьютерного зрения
ISBN: 9780128034675
Издательство: Elsevier Science
Классификация:


ISBN-10: 012803467X
Обложка/Формат: Hardback
Страницы: 500
Вес: 1.32 кг.
Дата издания: 01.06.2019
Язык: English
Размер: 238 x 197 x 23
Основная тема: Communications engineering
Ссылка на Издательство: Link
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Поставляется из: Европейский союз
Описание:

Graphical Models for Computer Vision introduces probabilistic graphical models (PGMs) for computer vision problems and teaches how to develop the PGM model from training data. This book discusses PGMs and their significance in the context of solving computer vision problems, giving the basic concepts, definitions and properties. It also provides a comprehensive introduction to well-established theories for different types of PGMs, including both directed and undirected PGMs, such as Bayesian Networks, Markov Networks and their variants.

  • Discusses PGM theories and techniques with computer vision examples
  • Focuses on well-established PGM theories that are accompanied by corresponding pseudocode for computer vision
  • Includes an extensive list of references, online resources and a list of publicly available and commercial software
  • Covers computer vision tasks, including feature extraction and image segmentation, object and facial recognition, human activity recognition, object tracking and 3D reconstruction



Engineering Electromagnetic Compatibility: Principles, Measurements, Technologies, and Computer Models, 2nd Edition

Автор: W. Prasad Kodali
Название: Engineering Electromagnetic Compatibility: Principles, Measurements, Technologies, and Computer Models, 2nd Edition
ISBN: 0780347439 ISBN-13(EAN): 9780780347434
Издательство: Wiley
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Цена: 27395.00 р.
Наличие на складе: Поставка под заказ.

Описание: "This practical, enhanced second edition will teach you to avoid costly post--design electromagnetic compatibility (EMC) fixes. Once again, V.

Dense Image Correspondences for Computer Vision

Автор: Tal Hassner; Ce Liu
Название: Dense Image Correspondences for Computer Vision
ISBN: 3319359142 ISBN-13(EAN): 9783319359144
Издательство: Springer
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Цена: 13059.00 р.
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Описание: This book describes the fundamental building-block of many new computer vision systems: dense and robust correspondence estimation.

Computer Vision

Автор: Davies, E. R.
Название: Computer Vision
ISBN: 012809284X ISBN-13(EAN): 9780128092842
Издательство: Elsevier Science
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Цена: 14483.00 р.
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Описание:

Computer Vision: Principles, Algorithms, Applications, Learning (previously entitled Computer and Machine Vision) clearly and systematically presents the basic methodology of computer vision, covering the essential elements of the theory while emphasizing algorithmic and practical design constraints. This fully revised fifth edition has brought in more of the concepts and applications of computer vision, making it a very comprehensive and up-to-date text suitable for undergraduate and graduate students, researchers and R&D engineers working in this vibrant subject.

See an interview with the author explaining his approach to teaching and learning computer vision - http: //scitechconnect.elsevier.com/computer-vision/

  • Three new chapters on Machine Learning emphasise the way the subject has been developing; Two chapters cover Basic Classification Concepts and Probabilistic Models; and the The third covers the principles of Deep Learning Networks and shows their impact on computer vision, reflected in a new chapter Face Detection and Recognition.
  • A new chapter on Object Segmentation and Shape Models reflects the methodology of machine learning and gives practical demonstrations of its application.
  • In-depth discussions have been included on geometric transformations, the EM algorithm, boosting, semantic segmentation, face frontalisation, RNNs and other key topics.
  • Examples and applications--including the location of biscuits, foreign bodies, faces, eyes, road lanes, surveillance, vehicles and pedestrians--give the 'ins and outs' of developing real-world vision systems, showing the realities of practical implementation.
  • Necessary mathematics and essential theory are made approachable by careful explanations and well-illustrated examples.
  • The 'recent developments' sections included in each chapter aim to bring students and practitioners up to date with this fast-moving subject.
  • Tailored programming examples--code, methods, illustrations, tasks, hints and solutions (mainly involving MATLAB and C++)
Dense image correspondences for computer vision

Название: Dense image correspondences for computer vision
ISBN: 3319230476 ISBN-13(EAN): 9783319230474
Издательство: Springer
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Цена: 16979.00 р.
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Описание: Dense Image Correspondences for Computer Vision

Artificial Intelligence in Wireless Robotics

Автор: Kwang-Cheng Chen
Название: Artificial Intelligence in Wireless Robotics
ISBN: 8770221189 ISBN-13(EAN): 9788770221184
Издательство: Taylor&Francis
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Цена: 14851.00 р.
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Описание: Robots, autonomous vehicles, unmanned aerial vehicles, and smart factory, will significantly change human living style in digital society. Artificial Intelligence in Wireless Robotics introduces how wireless communications and networking technology enhances facilitation of artificial intelligence in robotics, which bridges basic multi-disciplinary knowledge among artificial intelligence, wireless communications, computing, and control in robotics. A unique aspect of the book is to introduce applying communication and signal processing techniques to enhance traditional artificial intelligence in robotics and multi-agent systems.

The technical contents of this book include fundamental knowledge in robotics, cyber-physical systems, artificial intelligence, statistical decision and Markov decision process, reinforcement learning, state estimation, localization, computer vision and multi-modal data fusion, robot planning, multi-agent systems, networked multi-agent systems, security and robustness of networked robots, and ultra-reliable and low-latency machine-to-machine networking. Examples and exercises are provided for easy and effective comprehension.

Engineers wishing to extend knowledge in the robotics, AI, and wireless communications, would be benefited from this book. In the meantime, the book is ready as a textbook for senior undergraduate students or first-year graduate students in electrical engineering, computer engineering, computer science, and general engineering students. The readers of this book shall have basic knowledge in undergraduate probability and linear algebra, and basic programming capability, in order to enjoy deep reading.

Deep Learning in Computer Vision

Название: Deep Learning in Computer Vision
ISBN: 1138544426 ISBN-13(EAN): 9781138544420
Издательство: Taylor&Francis
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Цена: 13320.00 р.
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Описание: This book presents a collection of eleven chapters where each individual chapter explains the deep learning principles of a specific topic, introduces reviews of up-to-date techniques, and presents research findings to the computer vision community.

Probabilistic-Statistical Approaches to the Prediction of Aircraft Navigation Systems Condition

Автор: Eliseev B. P.; Kozlov A. I.; Romancheva N. I.; Sha
Название: Probabilistic-Statistical Approaches to the Prediction of Aircraft Navigation Systems Condition
ISBN: 9811399220 ISBN-13(EAN): 9789811399220
Издательство: Springer
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Цена: 11878.00 р.
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Описание: This book highlights the development of new methods for assessing and forecasting the state of various complex ageing systems in service; and making recommendations on the ideal aircraft route, taking into consideration the available information on the reliability of the navigation and communication equipment.

Probabilistic Methods and Distributed Information

Автор: Rudolf Ahlswede; Alexander Ahlswede; Ingo Alth?fer
Название: Probabilistic Methods and Distributed Information
ISBN: 3030003108 ISBN-13(EAN): 9783030003104
Издательство: Springer
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Цена: 16769.00 р.
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Описание: The fifth volume of Rudolf Ahlswede’s lectures on Information Theory focuses on several problems that were at the heart of a lot of his research. One of the highlights of the entire lecture note series is surely Part I of this volume on arbitrarily varying channels (AVC), a subject in which Ahlswede was probably the world's leading expert. Appended to Part I is a survey by Holger Boche and Ahmed Mansour on recent results concerning AVC and arbitrarily varying wiretap channels (AVWC). After a short Part II on continuous data compression, Part III, the longest part of the book, is devoted to distributed information. This Part includes discussions on a variety of related topics; among them let us emphasize two which are famously associated with Ahlswede: 'multiple descriptions', on which he produced some of the best research worldwide, and 'network coding', which had Ahlswede among the authors of its pioneering paper. The final Part IV on 'Statistical Inference under Communication constraints' is mainly based on Ahlswede’s joint paper with Imre Csiszar, which received the Best Paper Award of the IEEE Information Theory Society. The lectures presented in this work, which consists of 10 volumes, are suitable for graduate students in Mathematics, and also for those working in Theoretical Computer Science, Physics, and Electrical Engineering with a background in basic Mathematics. The lectures can be used either as the basis for courses or to supplement them in many ways. Ph.D. students will also find research problems, often with conjectures, that offer potential subjects for a thesis. More advanced researchers may find questions which form the basis of entire research programs.

Modern Probabilistic Methods for Analysis of Telecommunication Networks

Автор: Alexander Dudin; Valentina Klimenok; Gennadiy Tsar
Название: Modern Probabilistic Methods for Analysis of Telecommunication Networks
ISBN: 3642359795 ISBN-13(EAN): 9783642359798
Издательство: Springer
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Цена: 6986.00 р.
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Описание: This book constitutes the refereed proceedings of the International Conference on Modern Probabilistic Methods for Analysis of Telecommunication Networks, Belarusian Winter Workshop in Queueing Theory, BWWQT 2013, held in Minsk, Belarus, in January 2013.

Probabilistic Methods of Signal and System Analysis

Автор: Cooper, George R.; McGillem, Clare D.
Название: Probabilistic Methods of Signal and System Analysis
ISBN: 0195123549 ISBN-13(EAN): 9780195123548
Издательство: Oxford Academ
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Цена: 36430.00 р.
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Описание: Originally published in 1971, this text is intended for signals and systems courses which emphasize probability. It provides an introduction to probability theory, statistics, random processes and the analysis of systems with random inputs. This edition has been updated and uses Matlab.

Empirical Research on Semiotics and Visual Rhetoric

Автор: Marcel Danesi
Название: Empirical Research on Semiotics and Visual Rhetoric
ISBN: 1522556222 ISBN-13(EAN): 9781522556220
Издательство: Mare Nostrum (Eurospan)
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Цена: 28413.00 р.
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Описание: Examines communication through images and symbols and the methods by which researchers and scientists analyze these images and symbols. Featuring coverage on a wide range of topics, such as material culture, congruity theory, and social media, this publication is aimed at academics, researchers, and students seeking current research on images, symbols, and how to analyse them.


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