Applied Machine Vision

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Applied Machine Learning

Author : David Forsyth
Publisher : Springer
ISBN 13 : 3030181146
Total Pages : 496 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis Applied Machine Learning by : David Forsyth

Download or read book Applied Machine Learning written by David Forsyth and published by Springer. This book was released on 2019-07-12 with total page 496 pages. Available in PDF, EPUB and Kindle. Book excerpt: Machine learning methods are now an important tool for scientists, researchers, engineers and students in a wide range of areas. This book is written for people who want to adopt and use the main tools of machine learning, but aren’t necessarily going to want to be machine learning researchers. Intended for students in final year undergraduate or first year graduate computer science programs in machine learning, this textbook is a machine learning toolkit. Applied Machine Learning covers many topics for people who want to use machine learning processes to get things done, with a strong emphasis on using existing tools and packages, rather than writing one’s own code. A companion to the author's Probability and Statistics for Computer Science, this book picks up where the earlier book left off (but also supplies a summary of probability that the reader can use). Emphasizing the usefulness of standard machinery from applied statistics, this textbook gives an overview of the major applied areas in learning, including coverage of:• classification using standard machinery (naive bayes; nearest neighbor; SVM)• clustering and vector quantization (largely as in PSCS)• PCA (largely as in PSCS)• variants of PCA (NIPALS; latent semantic analysis; canonical correlation analysis)• linear regression (largely as in PSCS)• generalized linear models including logistic regression• model selection with Lasso, elasticnet• robustness and m-estimators• Markov chains and HMM’s (largely as in PSCS)• EM in fairly gory detail; long experience teaching this suggests one detailed example is required, which students hate; but once they’ve been through that, the next one is easy• simple graphical models (in the variational inference section)• classification with neural networks, with a particular emphasis onimage classification• autoencoding with neural networks• structure learning

Understanding and Applying Machine Vision, Second Edition, Revised and Expanded

Author : Nello Zeuch
Publisher : CRC Press
ISBN 13 : 9780824789299
Total Pages : 422 pages
Book Rating : 4.7/5 (892 download)

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Book Synopsis Understanding and Applying Machine Vision, Second Edition, Revised and Expanded by : Nello Zeuch

Download or read book Understanding and Applying Machine Vision, Second Edition, Revised and Expanded written by Nello Zeuch and published by CRC Press. This book was released on 2000-01-03 with total page 422 pages. Available in PDF, EPUB and Kindle. Book excerpt: A discussion of applications of machine vision technology in the semiconductor, electronic, automotive, wood, food, pharmaceutical, printing, and container industries. It describes systems that enable projects to move forward swiftly and efficiently, and focuses on the nuances of the engineering and system integration of machine vision technology.

Understanding and Applying Machine Vision, Revised and Expanded

Author : Nello Zeuch
Publisher : CRC Press
ISBN 13 : 1040022987
Total Pages : 422 pages
Book Rating : 4.0/5 (4 download)

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Book Synopsis Understanding and Applying Machine Vision, Revised and Expanded by : Nello Zeuch

Download or read book Understanding and Applying Machine Vision, Revised and Expanded written by Nello Zeuch and published by CRC Press. This book was released on 2000-01-03 with total page 422 pages. Available in PDF, EPUB and Kindle. Book excerpt: A discussion of applications of machine vision technology in the semiconductor, electronic, automotive, wood, food, pharmaceutical, printing, and container industries. It describes systems that enable projects to move forward swiftly and efficiently, and focuses on the nuances of the engineering and system integration of machine vision technology.

Examining Optoelectronics in Machine Vision and Applications in Industry 4.0

Author : Sergiyenko, Oleg
Publisher : IGI Global
ISBN 13 : 179986524X
Total Pages : 346 pages
Book Rating : 4.7/5 (998 download)

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Book Synopsis Examining Optoelectronics in Machine Vision and Applications in Industry 4.0 by : Sergiyenko, Oleg

Download or read book Examining Optoelectronics in Machine Vision and Applications in Industry 4.0 written by Sergiyenko, Oleg and published by IGI Global. This book was released on 2021-02-12 with total page 346 pages. Available in PDF, EPUB and Kindle. Book excerpt: The research and exploitation of optoelectronic properties in the industrial branch of electronics is becoming more popular each day due to the important role they play in the development of a large variety of sensors, devices, and systems for identifying, measuring, and constructing. While optoelectronics study the applications of electronic devices that source, detect, and transform light, machine vision generates and detects light in order to provide imaging-based automatic inspections and analysis for such applications as automatic object and environmental inspection, process control, and robot/mobile machine guidance in industry. Machine vision is less efficient without optoelectronics, and thus, it is important to investigate the theoretical approaches to different optoelectronic devices available for machine vision as well as current scanning technologies. Examining Optoelectronics in Machine Vision and Applications in Industry 4.0 focuses on the examination of emerging technologies for the design, fabrication, and implementation of optoelectronic sensors, devices, and systems in a machine vision approach to support industrial, commercial, and scientific applications. The book covers topics such as the design, fabrication, and implementation of sensors and devices as well as the development viewpoint of optoelectronic systems and artificial vision techniques using optoelectronic devices. The interaction and informational communication between all these mentioned devices in the complex solution of the same task is the subject of modern challenges in Industry 4.0. Thus, this book supports engineers, technology developers, academicians, researchers, and students who seek machine vision techniques for detection, measurement, and 3D reconstruction.

The Applied Machine Vision Conference Proceedings

Author : Applied Machine Vision Conference
Publisher :
ISBN 13 : 9780872631403
Total Pages : pages
Book Rating : 4.6/5 (314 download)

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Book Synopsis The Applied Machine Vision Conference Proceedings by : Applied Machine Vision Conference

Download or read book The Applied Machine Vision Conference Proceedings written by Applied Machine Vision Conference and published by . This book was released on 1984 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Applied Machine Learning and Data Analytics

Author : M. A. Jabbar
Publisher : Springer Nature
ISBN 13 : 3031554868
Total Pages : 287 pages
Book Rating : 4.0/5 (315 download)

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Book Synopsis Applied Machine Learning and Data Analytics by : M. A. Jabbar

Download or read book Applied Machine Learning and Data Analytics written by M. A. Jabbar and published by Springer Nature. This book was released on with total page 287 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Applied Computer Vision and Image Processing

Author : Brijesh Iyer
Publisher : Springer Nature
ISBN 13 : 9811540292
Total Pages : 444 pages
Book Rating : 4.8/5 (115 download)

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Book Synopsis Applied Computer Vision and Image Processing by : Brijesh Iyer

Download or read book Applied Computer Vision and Image Processing written by Brijesh Iyer and published by Springer Nature. This book was released on 2020-07-28 with total page 444 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book gathers high-quality research papers presented at the International Conference on Computing in Engineering and Technology (ICCET 2020) [formerly ICCASP]. A flagship conference on engineering and emerging next-generation technologies, it was jointly organized by Dr. Babasaheb Ambedkar Technological University and MGMs College of Engineering, Nanded, India on 9–11 January 2020. Focusing on applied computer vision and image processing, this proceedings volume includes papers on image processing, computer vision, pattern recognition, and DSP/DIP applications in healthcare systems.

Applied Computer Vision and Soft Computing with Interpretable AI

Author : Swati V. Shinde
Publisher : CRC Press
ISBN 13 : 1000952495
Total Pages : 333 pages
Book Rating : 4.0/5 (9 download)

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Book Synopsis Applied Computer Vision and Soft Computing with Interpretable AI by : Swati V. Shinde

Download or read book Applied Computer Vision and Soft Computing with Interpretable AI written by Swati V. Shinde and published by CRC Press. This book was released on 2023-10-05 with total page 333 pages. Available in PDF, EPUB and Kindle. Book excerpt: This reference text presents the knowledge base of computer vision and soft computing techniques with their applications for sustainable developments. Features: Covers a variety of deep learning architectures useful for computer vision tasks Demonstrates the use of different soft computing techniques and their applications for different computer vision tasks Highlights the unified strengths of hybrid techniques based on deep learning and soft computing taken together that give the interpretable, adaptive, and optimized solution to a given problem Addresses the different issues and further research opportunities in computer vision and soft computing Describes all the concepts with practical examples and case studies with appropriate performance measures that validate the applicability of the respective technique to a certain domain Considers recent real word problems and the prospective solutions to these problems This book will be useful to researchers, students, faculty, and industry personnel who are eager to explore the power of deep learning and soft computing for different computer vision tasks.

The Applied Machine Vision Conference proceedings

Author : Applied Machine Vision Conference
Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (633 download)

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Book Synopsis The Applied Machine Vision Conference proceedings by : Applied Machine Vision Conference

Download or read book The Applied Machine Vision Conference proceedings written by Applied Machine Vision Conference and published by . This book was released on with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

The Third Annual Applied Machine Vision Conference Proceedings, February 27-March 1, 1984, Schaumburg (Chicago) Illinois

Author :
Publisher : Robotics International
ISBN 13 :
Total Pages : 350 pages
Book Rating : 4.3/5 (97 download)

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Book Synopsis The Third Annual Applied Machine Vision Conference Proceedings, February 27-March 1, 1984, Schaumburg (Chicago) Illinois by :

Download or read book The Third Annual Applied Machine Vision Conference Proceedings, February 27-March 1, 1984, Schaumburg (Chicago) Illinois written by and published by Robotics International. This book was released on 1984 with total page 350 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Applied Machine Learning for Smart Data Analysis

Author : Nilanjan Dey
Publisher : CRC Press
ISBN 13 : 0429804563
Total Pages : 214 pages
Book Rating : 4.4/5 (298 download)

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Book Synopsis Applied Machine Learning for Smart Data Analysis by : Nilanjan Dey

Download or read book Applied Machine Learning for Smart Data Analysis written by Nilanjan Dey and published by CRC Press. This book was released on 2019-05-20 with total page 214 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book focuses on how machine learning and the Internet of Things (IoT) has empowered the advancement of information driven arrangements including key concepts and advancements. Ontologies that are used in heterogeneous IoT environments have been discussed including interpretation, context awareness, analyzing various data sources, machine learning algorithms and intelligent services and applications. Further, it includes unsupervised and semi-supervised machine learning techniques with study of semantic analysis and thorough analysis of reviews. Divided into sections such as machine learning, security, IoT and data mining, the concepts are explained with practical implementation including results. Key Features Follows an algorithmic approach for data analysis in machine learning Introduces machine learning methods in applications Address the emerging issues in computing such as deep learning, machine learning, Internet of Things and data analytics Focuses on machine learning techniques namely unsupervised and semi-supervised for unseen and seen data sets Case studies are covered relating to human health, transportation and Internet applications

Machine Vision

Author : Richard K. Miller
Publisher : Springer Science & Business Media
ISBN 13 : 9780442237370
Total Pages : 222 pages
Book Rating : 4.2/5 (373 download)

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Book Synopsis Machine Vision by : Richard K. Miller

Download or read book Machine Vision written by Richard K. Miller and published by Springer Science & Business Media. This book was released on 1989-08-31 with total page 222 pages. Available in PDF, EPUB and Kindle. Book excerpt: Aimed at manufacturing managers and engineers looking for an introduction to computer vision and its potential, this book discusses the areas in which machine vision is being used, explains different types of machine vision hardware and software and summarizes research at several universities.

Color in Computer Vision

Author : Theo Gevers
Publisher : John Wiley & Sons
ISBN 13 : 9780470890844
Total Pages : 0 pages
Book Rating : 4.8/5 (98 download)

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Book Synopsis Color in Computer Vision by : Theo Gevers

Download or read book Color in Computer Vision written by Theo Gevers and published by John Wiley & Sons. This book was released on 2012-09-04 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: While the field of computer vision drives many of today’s digital technologies and communication networks, the topic of color has emerged only recently in most computer vision applications. One of the most extensive works to date on color in computer vision, this book provides a complete set of tools for working with color in the field of image understanding. Based on the authors’ intense collaboration for more than a decade and drawing on the latest thinking in the field of computer science, the book integrates topics from color science and computer vision, clearly linking theories, techniques, machine learning, and applications. The fundamental basics, sample applications, and downloadable versions of the software and data sets are also included. Clear, thorough, and practical, Color in Computer Vision explains: Computer vision, including color-driven algorithms and quantitative results of various state-of-the-art methods Color science topics such as color systems, color reflection mechanisms, color invariance, and color constancy Digital image processing, including edge detection, feature extraction, image segmentation, and image transformations Signal processing techniques for the development of both image processing and machine learning Robotics and artificial intelligence, including such topics as supervised learning and classifiers for object and scene categorization Researchers and professionals in computer science, computer vision, color science, electrical engineering, and signal processing will learn how to implement color in computer vision applications and gain insight into future developments in this dynamic and expanding field.

Intelligent Systems and Applications in Computer Vision

Author : Nitin Mittal
Publisher : CRC Press
ISBN 13 : 1000985806
Total Pages : 341 pages
Book Rating : 4.0/5 (9 download)

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Book Synopsis Intelligent Systems and Applications in Computer Vision by : Nitin Mittal

Download or read book Intelligent Systems and Applications in Computer Vision written by Nitin Mittal and published by CRC Press. This book was released on 2023-11-02 with total page 341 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book comprehensively covers a wide range of evolutionary computer vision methods and applications, feature selection and extraction for training and classification, and metaheuristic algorithms in image processing. It further discusses optimized image segmentation, its analysis, pattern recognition, and object detection. Features: Discusses machine learning-based analytics such as GAN networks, autoencoders, computational imaging, and quantum computing Covers deep learning algorithms in computer vision Showcases novel solutions such as multi-resolution analysis in imaging processing, and metaheuristic algorithms for tackling challenges associated with image processing Highlight optimization problems such as image segmentation and minimized feature design vector Presents platform and simulation tools for image processing and segmentation The book aims to get the readers familiar with the fundamentals of computational intelligence as well as the recent advancements in related technologies like smart applications of digital images, and other enabling technologies from the context of image processing and computer vision. It further covers important topics such as image watermarking, steganography, morphological processing, and optimized image segmentation. It will serve as an ideal reference text for senior undergraduate, graduate students, and academic researchers in fields including electrical engineering, electronics, communications engineering, and computer engineering.

Machine Learning and Big Data Analytics Paradigms: Analysis, Applications and Challenges

Author : Aboul Ella Hassanien
Publisher : Springer Nature
ISBN 13 : 303059338X
Total Pages : 648 pages
Book Rating : 4.0/5 (35 download)

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Book Synopsis Machine Learning and Big Data Analytics Paradigms: Analysis, Applications and Challenges by : Aboul Ella Hassanien

Download or read book Machine Learning and Big Data Analytics Paradigms: Analysis, Applications and Challenges written by Aboul Ella Hassanien and published by Springer Nature. This book was released on 2020-12-14 with total page 648 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is intended to present the state of the art in research on machine learning and big data analytics. The accepted chapters covered many themes including artificial intelligence and data mining applications, machine learning and applications, deep learning technology for big data analytics, and modeling, simulation, and security with big data. It is a valuable resource for researchers in the area of big data analytics and its applications.

Applications of AI, Machine Vision and Robotics

Author : Kim L. Boyer
Publisher : World Scientific
ISBN 13 : 9789810221508
Total Pages : 64 pages
Book Rating : 4.2/5 (215 download)

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Book Synopsis Applications of AI, Machine Vision and Robotics by : Kim L. Boyer

Download or read book Applications of AI, Machine Vision and Robotics written by Kim L. Boyer and published by World Scientific. This book was released on 1993 with total page 64 pages. Available in PDF, EPUB and Kindle. Book excerpt: This text features a broad array of research efforts in computer vision including low level processing, perceptual organization, object recognition and active vision. The volume's nine papers specifically report on topics such as sensor confidence, low level feature extraction schemes, non-parametric multi-scale curve smoothing, integration of geometric and non-geometric attributes for object recognition, design criteria for a four degree-of-freedom robot head, a real-time vision system based on control of visual attention and a behavior-based active eye vision system. The scope of the book provides an excellent sample of current concepts, examples and applications from multiple areas of computer vision.

Applied Machine Learning

Author : M GOPAL
Publisher : McGraw Hill Professional
ISBN 13 : 1260456854
Total Pages : 656 pages
Book Rating : 4.2/5 (64 download)

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Book Synopsis Applied Machine Learning by : M GOPAL

Download or read book Applied Machine Learning written by M GOPAL and published by McGraw Hill Professional. This book was released on 2019-06-07 with total page 656 pages. Available in PDF, EPUB and Kindle. Book excerpt: Publisher's Note: Products purchased from Third Party sellers are not guaranteed by the publisher for quality, authenticity, or access to any online entitlements included with the product. Cutting-edge machine learning principles, practices, and applications This comprehensive textbook explores the theoretical under¬pinnings of learning and equips readers with the knowledge needed to apply powerful machine learning techniques to solve challenging real-world problems. Applied Machine Learning shows, step by step, how to conceptualize problems, accurately represent data, select and tune algorithms, interpret and analyze results, and make informed strategic decisions. Presented in a non-rigorous mathematical style, the book covers a broad array of machine learning topics with special emphasis on methods that have been profitably employed. Coverage includes: •Supervised learning•Statistical learning•Learning with support vector machines (SVM)•Learning with neural networks (NN)•Fuzzy inference systems•Data clustering•Data transformations•Decision tree learning•Business intelligence•Data mining•And much more