Computer Vision with Maker Tech, Fabio Manganiello
Автор: McIlwaine Catherine Название: Tolkien: Maker of Middle-Earth ISBN: 1851244859 ISBN-13(EAN): 9781851244850 Издательство: Wiley EDC Рейтинг: Цена: 6864.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This richly illustrated book explores the huge creative endeavour behind Tolkien`s enduring popularity. Lavishly illustrated with over 300 images of his manuscripts, drawings, maps and letters, the book traces the creative process behind his most famous literary works and reproduces personal photographs and private papers.
Описание: A fresh look at the interiors of Renzo Mongiardino considered one of the finest designers of the late twentieth century that will both appeal to past devotees and introduce his work to a new generation of design enthusiasts.
Автор: Strang Gilbert Название: Linear Algebra and Learning from Data ISBN: 0692196382 ISBN-13(EAN): 9780692196380 Издательство: Cambridge Academ Рейтинг: Цена: 9978.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Linear algebra and the foundations of deep learning, together at last! From Professor Gilbert Strang, acclaimed author of Introduction to Linear Algebra, comes Linear Algebra and Learning from Data, the first textbook that teaches linear algebra together with deep learning and neural nets. This readable yet rigorous textbook contains a complete course in the linear algebra and related mathematics that students need to know to get to grips with learning from data. Included are: the four fundamental subspaces, singular value decompositions, special matrices, large matrix computation techniques, compressed sensing, probability and statistics, optimization, the architecture of neural nets, stochastic gradient descent and backpropagation.
Автор: Hennessy, John Название: Computer Architecture 6 ed. ISBN: 0128119055 ISBN-13(EAN): 9780128119051 Издательство: Elsevier Science Рейтинг: Цена: 14483.00 р. Наличие на складе: Есть (1 шт.) Описание:
Computer Architecture: A Quantitative Approach, Sixth Edition has been considered essential reading by instructors, students and practitioners of computer design for over 20 years. The sixth edition of this classic textbook from Hennessy and Patterson, winners of the 2017 ACM A.M. Turing Award recognizing contributions of lasting and major technical importance to the computing field, is fully revised with the latest developments in processor and system architecture. The text now features examples from the RISC-V (RISC Five) instruction set architecture, a modern RISC instruction set developed and designed to be a free and openly adoptable standard. It also includes a new chapter on domain-specific architectures and an updated chapter on warehouse-scale computing that features the first public information on Google's newest WSC.
True to its original mission of demystifying computer architecture, this edition continues the longstanding tradition of focusing on areas where the most exciting computing innovation is happening, while always keeping an emphasis on good engineering design.
Winner of a 2019 Textbook Excellence Award (Texty) from the Textbook and Academic Authors Association
Includes a new chapter on domain-specific architectures, explaining how they are the only path forward for improved performance and energy efficiency given the end of Moore's Law and Dennard scaling
Features the first publication of several DSAs from industry
Features extensive updates to the chapter on warehouse-scale computing, with the first public information on the newest Google WSC
Offers updates to other chapters including new material dealing with the use of stacked DRAM; data on the performance of new NVIDIA Pascal GPU vs. new AVX-512 Intel Skylake CPU; and extensive additions to content covering multicore architecture and organization
Includes "Putting It All Together" sections near the end of every chapter, providing real-world technology examples that demonstrate the principles covered in each chapter
Includes review appendices in the printed text and additional reference appendices available online
Includes updated and improved case studies and exercises
ACM named John L. Hennessy and David A. Patterson, recipients of the 2017 ACM A.M. Turing Award for pioneering a systematic, quantitative approach to the design and evaluation of computer architectures with enduring impact on the microprocessor industry
Автор: Gregory Название: Game Engine Architecture 3E ISBN: 1138035459 ISBN-13(EAN): 9781138035454 Издательство: Taylor&Francis Рейтинг: Цена: 12707.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: New to this edition: update the section on game console HW, extend the rendering chapter, include a section on 2D GUI, new chapter on multiplayer networking, more coverage of the Unity game engine.
Discover BIM: A better way to build better buildings
Building Information Modeling (BIM) offers a novel approach to design, construction, and facility management in which a digital representation of the building product and process is used to facilitate the exchange and interoperability of information in digital format. BIM is beginning to change the way buildings look, the way they function, and the ways in which they are designed and built.
The BIM Handbook, Third Edition provides an in-depth understanding of BIM technologies, the business and organizational issues associated with its implementation, and the profound advantages that effective use of BIM can provide to all members of a project team. Updates to this edition include:
Information on the ways in which professionals should use BIM to gain maximum value
New topics such as collaborative working, national and major construction clients, BIM standards and guides
A discussion on how various professional roles have expanded through the widespread use and the new avenues of BIM practices and services
A wealth of new case studies that clearly illustrate exactly how BIM is applied in a wide variety of conditions
Painting a colorful and thorough picture of the state of the art in building information modeling, the BIM Handbook, Third Edition guides readers to successful implementations, helping them to avoid needless frustration and costs and take full advantage of this paradigm-shifting approach to construct better buildings that consume fewer materials and require less time, labor, and capital resources.
Автор: Marco, Leo Название: Computer Vision for Assistive Healthcare ISBN: 0128134453 ISBN-13(EAN): 9780128134450 Издательство: Elsevier Science Рейтинг: Цена: 14317.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Computer Vision for Assistive Healthcare describes how advanced computer vision techniques provide tools to support common human needs such as mental functioning, personal mobility, sensory functions and daily living activities. It describes how computer vision techniques - such as image processing, pattern recognition, machine learning and Language Processing and Computer Graphics- can cooperate with Robotics to provide such tools. The range of application areas covered are:
Mental functioning
Personal mobility
Sensory functions
Daily living activities
The reader will learn:
What are the emerging computer vision techniques for supporting mental functioning and to develop a Socially Assistive Robot (SAR)
The algorithms for analysing human behaviour beginning with visual data derived from environmental and wearable sensors ('first person vision')
How smart interfaces and virtual reality tools lead to the development of advanced rehabilitation systems able to perform human action and activity recognition using vision based techniques allowing a natural interaction experience
How Robotics Agent Coachers that can assist people with movement disorders during the execution of motor exercises
The technology behind intelligent wheelchairs
How computer vision technologies have the potential to assist blind people to independently access, understand, and explore the environments (both indoor and outdoor)
Computer vision-based solutions recently employed for safety and health monitoring: Fall detection, life log, and vital parameter monitoring
The first book to give the state-of-the-art computer vision techniques and tools for assistive healthcare
Broad range of topic areas ranging from Image processing, pattern recognition, machine learning to robotics, natural language processing and computer graphics
Wide range of application areas ranging from mobility, sensory substitution, safety and security, to mental and physical rehabilitation and training
Written by leading researchers in this growing field of research
Contains pieces of code
Describes the outstanding research challenges still to be tackled, giving researchers good indicators of research opportunities
Автор: Ji, Qiang Название: Probabilistic Graphical Models for Computer Vision ISBN: 012803467X ISBN-13(EAN): 9780128034675 Издательство: Elsevier Science Рейтинг: Цена: 12125.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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
Автор: Chen, Mei Название: Computer Vision for Microscopy Image Analysis ISBN: 0128149728 ISBN-13(EAN): 9780128149720 Издательство: Elsevier Science Рейтинг: Цена: 17854.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
High-throughput microscopy enables researchers to acquire thousands of images automatically over a short time, making it possible to conduct large-scale, image-based experiments for biological or biomedical discovery. However, visual analysis of large-scale image data is a daunting task. The post-acquisition component of high-throughput microscopy experiments calls for effective and efficient computer vision techniques.
Computer Vision for Microscopy Image Analysis provides a comprehensive and in-depth introduction to state-of-the-art computer vision techniques for microscopy image analysis, demonstrating how they can be effectively applied to biological and medical data.
The reader of the book will learn:
How computer vision analysis can automate and enhance human assessment of microscopy images for discovery
The important steps in microscopy image analysis
State-of-the-art methods for microscopy image analysis including machine learning and deep neural network approaches
This reference on the state-of-the-art computer vision methods in microscopy image analysis is suitable for researchers and graduate students interested in analyzing microscopy images or for developing toolsets for general biomedical image analysis applications.
Each topic contains a comprehensive overview of the field, followed by in-depth presentation of a state-of-the-art approach
Perspectives and content contributed by both technologists and biologists
Tackles specific problems of detection, segmentation, classification, tracking, cellular event detection
Contains the fundamentals of object measurement in microscopy images
Contains open source data and toolsets for microscopy image analysis on an accompanying website
Автор: Sunila Gollapudi Название: Learn Computer Vision Using OpenCV ISBN: 1484242602 ISBN-13(EAN): 9781484242605 Издательство: Springer Рейтинг: Цена: 7685.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Build practical applications of computer vision using the OpenCV library with Python. This book discusses different facets of computer vision such as image and object detection, tracking and motion analysis and their applications with examples. The author starts with an introduction to computer vision followed by setting up OpenCV from scratch using Python.
The next section discusses specialized image processing and segmentation and how images are stored and processed by a computer. This involves pattern recognition and image tagging using the OpenCV library. Next, you'll work with object detection, video storage and interpretation, and human detection using OpenCV.
Tracking and motion is also discussed in detail. The book also discusses creating complex deep learning models with CNN and RNN. The author finally concludes with recent applications and trends in computer vision.
After reading this book, you will be able to understand and implement computer vision and its applications with OpenCV using Python. You will also be able to create deep learning models with CNN and RNN and understand how these cutting-edge deep learning architectures work. What You Will LearnUnderstand what computer vision is, and its overall application in intelligent automation systemsDiscover the deep learning techniques required to build computer vision applicationsBuild complex computer vision applications using the latest techniques in OpenCV, Python, and NumPyCreate practical applications and implementations such as face detection and recognition, handwriting recognition, object detection, and tracking and motion analysisWho This Book Is ForThose who have a basic understanding of machine learning and Python and are looking to learn computer vision and its applications.
Автор: Millan Escriva Название: Building Computer Vision Projects with OpenCV 4 and C++ ISBN: 1838644679 ISBN-13(EAN): 9781838644673 Издательство: Неизвестно Рейтинг: Цена: 9194.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This Learning Path is your guide to understanding OpenCV concepts and algorithms through real-world examples and projects. By taking this Learning Path, you will be able to work on complex projects that involves image processing, motion detection, and image segmentation.
Автор: Barber Название: Bayesian Reasoning and Machine Learning ISBN: 0521518148 ISBN-13(EAN): 9780521518147 Издательство: Cambridge Academ Рейтинг: Цена: 11088.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This practical introduction for final-year undergraduate and graduate students is ideally suited to computer scientists without a background in calculus and linear algebra. Numerous examples and exercises are provided. Additional resources available online and in the comprehensive software package include computer code, demos and teaching materials for instructors.
ООО "Логосфера " Тел:+7(495) 980-12-10 www.logobook.ru
