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Challenges and Applications for Implementing Machine Learning in Computer Vision, Ramgopal Kashyap, A.V. Senthil Kumar



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Цена: 27437р.
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Автор: Ramgopal Kashyap, A.V. Senthil Kumar
Название:  Challenges and Applications for Implementing Machine Learning in Computer Vision
Перевод названия: Рамгопал Кашьяр, А. В. Сентил Кумар: Задачи и приложения для внедрения машинного обучения в системы
ISBN: 9781799801832
Издательство: Eurospan
Классификация:
ISBN-10: 1799801837
Обложка/Формат: Paperback
Вес: 0.562 кг.
Дата издания: 30.10.2019
Серия: Computing & IT
Язык: English
Размер: 254 x 178 x 17
Читательская аудитория: Professional and scholarly
Ключевые слова: Artificial intelligence,Computer vision,Information technology: general issues
Поставляется из: Англии



Machine Learning and Cognitive Computing for Mobile Communications and Wireless Networks

Автор: Krishna Kant Singh, Akansha Singh, Korhan Cengiz,
Название: Machine Learning and Cognitive Computing for Mobile Communications and Wireless Networks
ISBN: 1119640369 ISBN-13(EAN): 9781119640363
Издательство: Wiley
Рейтинг:
Цена: 26862 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание:

Communication and network technology has witnessed recent rapid development and numerous information services and applications have been developed globally. These technologies have high impact on society and the way people are leading their lives. The advancement in technology has undoubtedly improved the quality of service and user experience yet a lot needs to be still done. Some areas that still need improvement include seamless wide-area coverage, high-capacity hot-spots, low-power massive-connections, low-latency and high-reliability and so on. Thus, it is highly desirable to develop smart technologies for communication to improve the overall services and management of wireless communication. Machine learning and cognitive computing have converged to give some groundbreaking solutions for smart machines. With these two technologies coming together, the machines can acquire the ability to reason similar to the human brain. The research area of machine learning and cognitive computing cover many fields like psychology, biology, signal processing, physics, information theory, mathematics, and statistics that can be used effectively for topology management. Therefore, the utilization of machine learning techniques like data analytics and cognitive power will lead to better performance of communication and wireless systems.

Handbook of research on emerging trends and applications of machine learning

Название: Handbook of research on emerging trends and applications of machine learning
ISBN: 1522596437 ISBN-13(EAN): 9781522596431
Издательство: Eurospan
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Цена: 62638 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: As today's world continues to advance, Artificial Intelligence (AI) is a field that has become a staple of technological development and led to the advancement of numerous professional industries. An application within AI that has gained attention is machine learning. Machine learning uses statistical techniques and algorithms to give computer systems the ability to understand and its popularity has circulated through many trades. Understanding this technology and its countless implementations is pivotal for scientists and researchers across the world.

The Handbook of Research on Emerging Trends and Applications of Machine Learning provides a high-level understanding of various machine learning algorithms along with modern tools and techniques using Artificial Intelligence. In addition, this book explores the critical role that machine learning plays in a variety of professional fields including healthcare, business, and computer science. While highlighting topics including image processing, predictive analytics, and smart grid management, this book is ideally designed for developers, data scientists, business analysts, information architects, finance agents, healthcare professionals, researchers, retail traders, professors, and graduate students seeking current research on the benefits, implementations, and trends of machine learning.

Computer Vision, Imaging and Computer Graphics: Theory and Applications

Автор: Ranchordas
Название: Computer Vision, Imaging and Computer Graphics: Theory and Applications
ISBN: 3642118399 ISBN-13(EAN): 9783642118395
Издательство: Springer
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Цена: 12621 р.
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Описание: Constitutes the refereed proceedings of the International Conference, VISIGRAPP 2009, the Joint Conference on Computer Vision Theory and Applications (VISAPP), on Imaging Theory and Applications (IMAGAPP), and on Computer Graphics Theory and Applications (GRAPP), held in Lisboa, Portugal, in February 2009.

Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications

Автор: Bloch
Название: Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications
ISBN: 3642166865 ISBN-13(EAN): 9783642166860
Издательство: Springer
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Цена: 13364 р.
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Описание: Constitutes the refereed proceedings of the 15th iberoamerican Congress on Pattern Recognition, CIARP 2010, held in Sao Paulo, Brazil, in November 2010.

Challenges and Applications for Implementing Machine Learning in Computer Vision

Автор: Ramgopal Kashyap, A.V. Senthil Kumar
Название: Challenges and Applications for Implementing Machine Learning in Computer Vision
ISBN: 1799801829 ISBN-13(EAN): 9781799801825
Издательство: Eurospan
Рейтинг:
Цена: 32613 р.
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Описание: Machine learning allows for non-conventional and productive answers for issues within various fields, including problems related to visually perceptive computers. Applying these strategies and algorithms to the area of computer vision allows for higher achievement in tasks such as spatial recognition, big data collection, and image processing. There is a need for research that seeks to understand the development and efficiency of current methods that enable machines to see.

Challenges and Applications for Implementing Machine Learning in Computer Vision is a collection of innovative research that combines theory and practice on adopting the latest deep learning advancements for machines capable of visual processing. Highlighting a wide range of topics such as video segmentation, object recognition, and 3D modelling, this publication is ideally designed for computer scientists, medical professionals, computer engineers, information technology practitioners, industry experts, scholars, researchers, and students seeking current research on the utilization of evolving computer vision techniques.

Linear Algebra And Optimization With Applications To Machine Learning - Volume I: Linear Algebra For Computer Vision, Robotics, And Machine Learning

Автор: Gallier Jean H, Quaintance Jocelyn
Название: Linear Algebra And Optimization With Applications To Machine Learning - Volume I: Linear Algebra For Computer Vision, Robotics, And Machine Learning
ISBN: 9811206392 ISBN-13(EAN): 9789811206399
Издательство: World Scientific Publishing
Рейтинг:
Цена: 31635 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This book provides the mathematical fundamentals of linear algebra to practicers in computer vision, machine learning, robotics, applied mathematics, and electrical engineering. By only assuming a knowledge of calculus, the authors develop, in a rigorous yet down to earth manner, the mathematical theory behind concepts such as: vectors spaces, bases, linear maps, duality, Hermitian spaces, the spectral theorems, SVD, and the primary decomposition theorem. At all times, pertinent real-world applications are provided. This book includes the mathematical explanations for the tools used which we believe that is adequate for computer scientists, engineers and mathematicians who really want to do serious research and make significant contributions in their respective fields.

Автор: Joao M.F. Rodrigues, Pedro J.S. Cardoso, Janio Monteiro, Celia M.Q. Ramos
Название: Smart Systems Design, Applications, and Challenges
ISBN: 1799821137 ISBN-13(EAN): 9781799821137
Издательство: Eurospan
Рейтинг:
Цена: 31060 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Smart systems when connected to artificial intelligence (AI) are still closely associated with some popular misconceptions that cause the general public to either have unrealistic fears about AI or to expect too much about how it will change our workplace and life in general. It is important to show that such fears are unfounded, and that new trends, technologies, and smart systems will be able to improve the way we live, benefiting society without replacing humans in their core activities.

Smart Systems Design, Applications, and Challenges provides emerging research that presents state-of-the-art technologies and available systems in the domains of smart systems and AI and explains solutions from an augmented intelligence perspective, showing that these technologies can be used to benefit, instead of replace, humans by augmenting the information and actions of their daily lives. The book addresses all smart systems that incorporate functions of sensing, actuation, and control in order to describe and analyze a situation and make decisions based on the available data in a predictive or adaptive manner. Highlighting a broad range of topics such as business intelligence, cloud computing, and autonomous vehicles, this book is ideally designed for engineers, investigators, IT professionals, researchers, developers, data analysts, professors, and students.

Smart Systems Design, Applications, and Challenges

Автор: Joao M.F. Rodrigues, Pedro J.S. Cardoso, Janio Monteiro, Celia M.Q. Ramos
Название: Smart Systems Design, Applications, and Challenges
ISBN: 1799821129 ISBN-13(EAN): 9781799821120
Издательство: Eurospan
Рейтинг:
Цена: 41069 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Smart systems when connected to artificial intelligence (AI) are still closely associated with some popular misconceptions that cause the general public to either have unrealistic fears about AI or to expect too much about how it will change our workplace and life in general. It is important to show that such fears are unfounded, and that new trends, technologies, and smart systems will be able to improve the way we live, benefiting society without replacing humans in their core activities.

Smart Systems Design, Applications, and Challenges provides emerging research that presents state-of-the-art technologies and available systems in the domains of smart systems and AI and explains solutions from an augmented intelligence perspective, showing that these technologies can be used to benefit, instead of replace, humans by augmenting the information and actions of their daily lives. The book addresses all smart systems that incorporate functions of sensing, actuation, and control in order to describe and analyze a situation and make decisions based on the available data in a predictive or adaptive manner. Highlighting a broad range of topics such as business intelligence, cloud computing, and autonomous vehicles, this book is ideally designed for engineers, investigators, IT professionals, researchers, developers, data analysts, professors, and students.

Machine Learning and Cognitive Science Applications in Cyber Security

Автор: Muhammad Salman Khan
Название: Machine Learning and Cognitive Science Applications in Cyber Security
ISBN: 1522581006 ISBN-13(EAN): 9781522581000
Издательство: Eurospan
Рейтинг:
Цена: 36045 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: In the past few years, with the evolution of advanced persistent threats and mutation techniques, sensitive and damaging information from a variety of sources have been exposed to possible corruption and hacking. Machine learning, artificial intelligence, predictive analytics, and similar disciplines of cognitive science applications have been found to have significant applications in the domain of cyber security. Machine Learning and Cognitive Science Applications in Cyber Security examines different applications of cognition that can be used to detect threats and analyze data to capture malware. Highlighting such topics as anomaly detection, intelligent platforms, and triangle scheme, this publication is designed for IT specialists, computer engineers, researchers, academicians, and industry professionals interested in the impact of machine learning in cyber security and the methodologies that can help improve the performance and reliability of machine learning applications.

Computer Age Statistical Inference

Автор: Bradley Efron and Trevor Hastie
Название: Computer Age Statistical Inference
ISBN: 1107149894 ISBN-13(EAN): 9781107149892
Издательство: Cambridge Academ
Рейтинг:
Цена: 8495 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: The twenty-first century has seen a breathtaking expansion of statistical methodology, both in scope and in influence. 'Big data', 'data science', and 'machine learning' have become familiar terms in the news, as statistical methods are brought to bear upon the enormous data sets of modern science and commerce. How did we get here? And where are we going? This book takes us on an exhilarating journey through the revolution in data analysis following the introduction of electronic computation in the 1950s. Beginning with classical inferential theories - Bayesian, frequentist, Fisherian - individual chapters take up a series of influential topics: survival analysis, logistic regression, empirical Bayes, the jackknife and bootstrap, random forests, neural networks, Markov chain Monte Carlo, inference after model selection, and dozens more. The distinctly modern approach integrates methodology and algorithms with statistical inference. The book ends with speculation on the future direction of statistics and data science.

Linear algebra and optimization with applications to machine learning - volume i: linear algebra for computer vision, robotics, and machine learning

Автор: Gallier, Jean H (univ Of Pennsylvania, Usa) Quaintance, Jocelyn (univ Of Pennsylvania, Usa)
Название: Linear algebra and optimization with applications to machine learning - volume i: linear algebra for computer vision, robotics, and machine learning
ISBN: 9811207712 ISBN-13(EAN): 9789811207716
Издательство: World Scientific Publishing
Рейтинг:
Цена: 15366 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание:

This book provides the mathematical fundamentals of linear algebra to practicers in computer vision, machine learning, robotics, applied mathematics, and electrical engineering. By only assuming a knowledge of calculus, the authors develop, in a rigorous yet down to earth manner, the mathematical theory behind concepts such as: vectors spaces, bases, linear maps, duality, Hermitian spaces, the spectral theorems, SVD, and the primary decomposition theorem. At all times, pertinent real-world applications are provided. This book includes the mathematical explanations for the tools used which we believe that is adequate for computer scientists, engineers and mathematicians who really want to do serious research and make significant contributions in their respective fields.

Machine Learning Applications: Emerging Trends

Автор: Rik Das, Siddhartha Bhattacharyya, Sudarshan Nandy
Название: Machine Learning Applications: Emerging Trends
ISBN: 3110608537 ISBN-13(EAN): 9783110608533
Издательство: Walter de Gruyter
Цена: 18479 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание:

The publication is attempted to address emerging trends in machine learning applications. Recent trends in information identification have identified huge scope in applying machine learning techniques for gaining meaningful insights. Random growth of unstructured data poses new research challenges to handle this huge source of information. Efficient designing of machine learning techniques is the need of the hour. Recent literature in machine learning has emphasized on single technique of information identification. Huge scope exists in developing hybrid machine learning models with reduced computational complexity for enhanced accuracy of information identification. This book will focus on techniques to reduce feature dimension for designing light weight techniques for real time identification and decision fusion. Key Findings of the book will be the use of machine learning in daily lives and the applications of it to improve livelihood. However, it will not be able to cover the entire domain in machine learning in its limited scope. This book is going to benefit the research scholars, entrepreneurs and interdisciplinary approaches to find new ways of applications in machine learning and thus will have novel research contributions. The lightweight techniques can be well used in real time which will add value to practice.


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