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Optoelectronics in Machine Vision-Based Theories and Applications, Rivas-Lopez Moises, Sergiyenko Oleg, Flores-Fuentes Wendy


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Автор: Rivas-Lopez Moises, Sergiyenko Oleg, Flores-Fuentes Wendy
Название:  Optoelectronics in Machine Vision-Based Theories and Applications
ISBN: 9781522588061
Издательство: Mare Nostrum (Eurospan)
Классификация:
ISBN-10: 152258806X
Обложка/Формат: Paperback
Страницы: 464
Вес: 1.07 кг.
Дата издания: 14.12.2018
Язык: English
Размер: 27.99 x 21.59 x 2.39 cm
Читательская аудитория: Tertiary education (us: college)
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Поставляется из: Англии
Описание: Provides innovative insights on theories and applications of optoelectronics in machine vision-based systems. The book also covers topics such as applications of unmanned aerial vehicles, autonomous and mobile robots, medical scanning, industrial applications, agriculture, and structural health monitoring.


Optoelectronics in Machine Vision-Based Theories and Applications

Автор: Moises Rivas-Lopez, Oleg Sergiyenko, Wendy Flores-Fuentes, Julio Cesar Rodriguez-Quinonez
Название: Optoelectronics in Machine Vision-Based Theories and Applications
ISBN: 1522557512 ISBN-13(EAN): 9781522557517
Издательство: Mare Nostrum (Eurospan)
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Цена: 28215.00 р.
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Описание: Sensor technologies play a large part in modern life, as they are present in things like security systems, digital cameras, smartphones, and motion sensors. While these devices are always evolving, research is being done to further develop this technology to help detect and analyze threats, perform in-depth inspections, and perform tracking services.Optoelectronics in Machine Vision-Based Theories and Applications provides innovative insights on theories and applications of optoelectronics in machine vision-based systems. It also covers topics such as applications of unmanned aerial vehicle, autonomous and mobile robots, medical scanning, industrial applications, agriculture, and structural health monitoring. This publication is a vital reference source for engineers, technology developers, academicians, researchers, and advanced-level students seeking emerging research on sensor technologies and machine vision.

Mathematical Theories of Machine Learning - Theory and Applications

Автор: Shi Bin, Iyengar S. S.
Название: Mathematical Theories of Machine Learning - Theory and Applications
ISBN: 3030170780 ISBN-13(EAN): 9783030170783
Издательство: Springer
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Цена: 12157.00 р.
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Описание: In the third part, the authors study the problem of subspace clustering with noisy and missing data, which is a problem well-motivated by practical applications data subject to stochastic Gaussian noise and/or incomplete data with uniformly missing entries.

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
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Цена: 28512.00 р.
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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.

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
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Цена: 14256.00 р.
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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.

Mastering Computer Vision with TensorFlow 2.x: Build advanced computer vision applications using machine learning and deep learning techniques

Автор: Kar Krishnendu
Название: Mastering Computer Vision with TensorFlow 2.x: Build advanced computer vision applications using machine learning and deep learning techniques
ISBN: 1838827064 ISBN-13(EAN): 9781838827069
Издательство: Неизвестно
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Цена: 9010.00 р.
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Описание: You will learn the principles of computer vision and deep learning, and understand various models and architectures with their pros and cons. You will learn how to use TensorFlow 2.x to build your own neural network model and apply it to various computer vision tasks such as image acquiring, processing, and analyzing.

Machine Learning Paradigms: Advances in Deep Learning-Based Technological Applications

Автор: Tsihrintzis George A., Jain Lakhmi C.
Название: Machine Learning Paradigms: Advances in Deep Learning-Based Technological Applications
ISBN: 3030497232 ISBN-13(EAN): 9783030497231
Издательство: Springer
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Цена: 20962.00 р.
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Описание: Chapter 1: Introduction to Deep Learning-based Technological Applications.- Chapter 2: Vision to Language: Methods, Metrics and Datasets.- Chapter 3: Deep Learning Techniques for Geospatial Data Analysis.- Chapter 4: Deep Learning Approaches in Food Recognition.- Chapter 5: Deep Learning for Twitter Sentiment Analysis: the Effect of pre-trained Word Embedding.- Chapter 6: A Good Defense is a Strong DNN: Defending the IoT with Deep Neural Networks.- Chapter 7: Survey on Deep Learning Techniques for Medical Imaging Application Area.- Chapter 8: Deep Learning Methods in Electroencephalography.

Blueprints for Text Analytics Using Python: Machine Learning Based Solutions for Common Real World (Nlp) Applications

Автор: Albrecht Jens, Ramachandran Sidharth, Winkler Christian
Название: Blueprints for Text Analytics Using Python: Machine Learning Based Solutions for Common Real World (Nlp) Applications
ISBN: 149207408X ISBN-13(EAN): 9781492074083
Издательство: Wiley
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Цена: 10136.00 р.
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Описание: This practical book provides data scientists and developers with blueprints for best practice solutions to common tasks in text analytics and natural language processing. Authors Jens Albrecht, Sidharth Ramachandran, and Christian Winkler provide real-world case studies and detailed code examples in Python to help you get started quickly.

Mathematical Theories of Machine Learning - Theory and Applications

Автор: Bin Shi; S. S. Iyengar
Название: Mathematical Theories of Machine Learning - Theory and Applications
ISBN: 3030170756 ISBN-13(EAN): 9783030170752
Издательство: Springer
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Цена: 12157.00 р.
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Описание: This book studies mathematical theories of machine learning. The first part of the book explores the optimality and adaptivity of choosing step sizes of gradient descent for escaping strict saddle points in non-convex optimization problems. In the second part, the authors propose algorithms to find local minima in nonconvex optimization and to obtain global minima in some degree from the Newton Second Law without friction. In the third part, the authors study the problem of subspace clustering with noisy and missing data, which is a problem well-motivated by practical applications data subject to stochastic Gaussian noise and/or incomplete data with uniformly missing entries. In the last part, the authors introduce an novel VAR model with Elastic-Net regularization and its equivalent Bayesian model allowing for both a stable sparsity and a group selection.

Business Intelligence and Agile Methodologies for Knowledge-Based Organizations: Cross-Disciplinary Applications

Автор: Asim Abdel Rahman El Sheikh, Mouhib Alnoukari
Название: Business Intelligence and Agile Methodologies for Knowledge-Based Organizations: Cross-Disciplinary Applications
ISBN: 1613500505 ISBN-13(EAN): 9781613500507
Издательство: Mare Nostrum (Eurospan)
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Цена: 27027.00 р.
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Описание: Highlights the marriage between business intelligence and knowledge management through the use of agile methodologies. Through its fifteen chapters, this offers perspectives on the integration between process modeling, agile methodologies, business intelligence, knowledge management, and strategic management.


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