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Domain Adaptation in Computer Vision with Deep Learning, Venkateswara Hemanth, Panchanathan Sethuraman


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Цена: 139750.00T
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Склад Америка: 232 шт.  
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Автор: Venkateswara Hemanth, Panchanathan Sethuraman
Название:  Domain Adaptation in Computer Vision with Deep Learning
ISBN: 9783030455316
Издательство: Springer
Классификация:


ISBN-10: 3030455319
Обложка/Формат: Paperback
Страницы: 256
Вес: 0.38 кг.
Дата издания: 02.09.2021
Язык: English
Размер: 23.39 x 15.60 x 1.45 cm
Ссылка на Издательство: Link
Поставляется из: Германии
Описание:

This book provides a survey of deep learning approaches to domain adaptation in computer vision. It gives the reader an overview of the state-of-the-art research in deep learning based domain adaptation. This book also discusses the various approaches to deep learning based domain adaptation in recent years. It outlines the importance of domain adaptation for the advancement of computer vision, consolidates the research in the area and provides the reader with promising directions for future research in domain adaptation.

Divided into four parts, the first part of this book begins with an introduction to domain adaptation, which outlines the problem statement, the role of domain adaptation and the motivation for research in this area. It includes a chapter outlining pre-deep learning era domain adaptation techniques. The second part of this book highlights feature alignment based approaches to domain adaptation. The third part of this book outlines image alignment procedures for domain adaptation. The final section of this book presents novel directions for research in domain adaptation.

This book targets researchers working in artificial intelligence, machine learning, deep learning and computer vision. Industry professionals and entrepreneurs seeking to adopt deep learning into their applications will also be interested in this book.



The Nutcracker: An Enchanting Pop-Up Adaptation   Bounce, Hardcover 2018

Название: The Nutcracker: An Enchanting Pop-Up Adaptation Bounce, Hardcover 2018
ISBN: 1623485568 ISBN-13(EAN): 9781623485566
Издательство: TBS/GBS
Рейтинг:
Цена: 30590.00 T
Наличие на складе: Есть
Описание: Retold by Jessica Southwick, ETA Hoffman`s `The Nutcracker` comes alive in this pop-up adaptation of the classic holiday tale. From ballrooms to battles, from boats to ballets, follow the magical journey of Marie and her beloved Christmas gift. Seven brightly illustrated and dynamic pop-up spreads and interactive elements from illustrator Neiko Ng tell the tale of `The Nutcraker` like never before. The text is divided between four flaps-pages, each telling the story of how the young man became the Nutcracker.

Linear Algebra and Learning from Data

Автор: Strang Gilbert
Название: Linear Algebra and Learning from Data
ISBN: 0692196382 ISBN-13(EAN): 9780692196380
Издательство: Cambridge Academ
Рейтинг:
Цена: 66520.00 T
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.

Computer Architecture  6 ed.

Автор: Hennessy, John
Название: Computer Architecture 6 ed.
ISBN: 0128119055 ISBN-13(EAN): 9780128119051
Издательство: Elsevier Science
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Цена: 96550.00 T
Наличие на складе: Есть
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

Game Engine Architecture 3E

Автор: Gregory
Название: Game Engine Architecture 3E
ISBN: 1138035459 ISBN-13(EAN): 9781138035454
Издательство: Taylor&Francis
Рейтинг:
Цена: 84710.00 T
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.

Star Wars: The Force Awakens Graphic Novel Adaptation

Автор: Alessandro Ferrari
Название: Star Wars: The Force Awakens Graphic Novel Adaptation
ISBN: 1684052106 ISBN-13(EAN): 9781684052103
Издательство: Random House (USA)
Цена: 9190.00 T
Наличие на складе: Нет в наличии.
Описание: A new Star Wars generation is born Rey, Finn, and Kylo Ren meet for the first time in this children's comic adaptation of Episode VII.

Faithfully capturing the galaxy-spanning action of The Force Awakens, join all your favorite characters, new and old, on the adventure of a lifetime Experience Episode VII like never before and make your stand with the Resistance against the might of the First Order

This beautiful graphic novel combines the awe-inspiring wonder of Star Wars with the streamlined designs of Disney animation, making it both a must-read for longtime fans and a great introduction for newcomers

First Course In Integral Equations, A (Second Edition)

Автор: Wazwaz Abdul-Majid
Название: First Course In Integral Equations, A (Second Edition)
ISBN: 9814675121 ISBN-13(EAN): 9789814675123
Издательство: World Scientific Publishing
Рейтинг:
Цена: 42240.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This second edition integrates the newly developed methods with classical techniques to give both modern and powerful approaches for solving integral equations.

Domain Adaptation in Computer Vision with Deep Learning

Автор: Venkateswara Hemanth, Panchanathan Sethuraman
Название: Domain Adaptation in Computer Vision with Deep Learning
ISBN: 3030455289 ISBN-13(EAN): 9783030455286
Издательство: Springer
Рейтинг:
Цена: 139750.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Preface.- Part I: Introduction.- Chapter 1: Introduction to Domain Adaptation.- Chapter 2: Shallow Domain Adaptation.- Part II: Domain Alignment in the Feature Space.- Chapter 3: d-SNE: Domain Adaptation using Stochastic Neighborhood Embedding.- Chapter 4: Deep Hashing Network for Unsupervised Domain Adaptation.- Chapter 5: Re-weighted Adversarial Adaptation Network for Unsupervised Domain Adaptation.- Part III: Domain Alignment in the Image Space.- Chapter 6: Unsupervised Domain Adaptation with Duplex Generative Adversarial Network.- Chapter 7: Domain Adaptation via Image to Image Translation.- Chapter 8: Domain Adaptation via Image Style Transfer.- Part IV: Future Directions in Domain Adaptation.- Chapter 9: Towards Scalable Image Classifier Learning with Noisy Labels via Domain Adaptation.- Chapter 10: Adversarial Learning Approach for Open Set Domain Adaptation.- Chapter 11: Universal Domain Adaptation.- Chapter 12: Multi-source Domain Adaptation by Deep CockTail Networks.- Chapter 13: Zero-Shot Task Transfer.


Domain Adaptation in Computer Vision Applications

Автор: Csurka Gabriela
Название: Domain Adaptation in Computer Vision Applications
ISBN: 3319863835 ISBN-13(EAN): 9783319863832
Издательство: Springer
Рейтинг:
Цена: 139750.00 T
Наличие на складе: Поставка под заказ.
Описание: This comprehensive text/reference presents a broad review of diverse domain adaptation (DA) methods for machine learning, with a focus on solutions for visual applications.

Level Up! the Guide to Great Video Game Design

Автор: Rogers, Rogers Scott
Название: Level Up! the Guide to Great Video Game Design
ISBN: 1118877160 ISBN-13(EAN): 9781118877166
Издательство: Wiley
Рейтинг:
Цена: 29570.00 T
Наличие на складе: Поставка под заказ.
Описание: Provides examples that forgo theoretical gobbledygook with charmingly illustrated concepts and solutions based on years of professional experience. This book helps you teach how to develop marketable ideas, and learn what perils and pitfalls await during a game`s pre-production, production and post-production stages.

State Estimation for Robotics

Автор: Barfoot Timothy D
Название: State Estimation for Robotics
ISBN: 1107159393 ISBN-13(EAN): 9781107159396
Издательство: Cambridge Academ
Рейтинг:
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.

Bayesian Reasoning and Machine Learning

Автор: Barber
Название: Bayesian Reasoning and Machine Learning
ISBN: 0521518148 ISBN-13(EAN): 9780521518147
Издательство: Cambridge Academ
Рейтинг:
Цена: 73920.00 T
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.

Domain Adaptation for Visual Understanding

Автор: Richa Singh; Mayank Vatsa; Vishal M Patel; Nalini
Название: Domain Adaptation for Visual Understanding
ISBN: 3030306704 ISBN-13(EAN): 9783030306700
Издательство: Springer
Рейтинг:
Цена: 93160.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This unique volume reviews the latest advances in domain adaptation in the training of machine learning algorithms for visual understanding, offering valuable insights from an international selection of experts in the field.


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