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Challenges in complexity and variability of multimedia data have led to revolutions in machine learning techniques. Multimedia data, such as digital images, audio streams and motion video programs, exhibit richer structures than simple, isolated data items. A number of pixels in a digital image collectively conveys certain visual content to viewers. A TV video program consists of both audio and image streams that unfold the underlying story. To recognize the visual content of a digital image, or to understand the underlying story of a video program, we may need to label sets of pixels or groups of image and audio frames jointly. Machine Learning for Multimedia Content Analysis introduces machine learning techniques that are particularly powerful and effective for modeling spatial, temporal structures of multimedia data and for accomplishing common tasks of multimedia content analysis. This book systematically covers these techniques in an intuitive fashion and demonstrates their applications through case studies. This volume uses a large number of figures to illustrate and visualize complex concepts, and provides insights into the characteristics of many algorithms through examinations of their loss functions and straightforward comparisons. Machine Learning for Multimedia Content Analysis is designed for an academic and professional audience. Researchers will find this book an invaluable tool for applying machine learning techniques to multimedia content analysis. This volume is also suitable for practitioners in industry. .

Multimedia systems. --- Machine learning. --- Image processing --- Pattern recognition systems. --- Digital techniques. --- Pattern classification systems --- Pattern recognition computers --- Pattern perception --- Computer vision --- Digital image processing --- Digital electronics --- Learning, Machine --- Artificial intelligence --- Machine theory --- Computer-based multimedia information systems --- Multimedia computing --- Multimedia information systems --- Multimedia knowledge systems --- Information storage and retrieval systems

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Computer architecture. Operating systems --- Information systems --- Artificial intelligence. Robotics. Simulation. Graphics --- Computer. Automation --- IR (information retrieval) --- machine learning --- grafische vormgeving --- multimedia --- computernetwerken --- robots

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This book focuses on the latest research and developments in photovoltaic (PV) power plants, and provides extensive coverage of fundamental theories, current research and developmental activities, and new approaches intended to overcome a number of critical limitations in today’s grid integration technologies. The design and implementation process for large-scale solar PV power plants is introduced. The content provided will actively support the development of future renewable power plants and smart grid applications. The book will be of interest to researchers, professionals and graduate students in electrical and electronics fields seeking to understand the related technologies involved in PV power plants.

Energy. --- Renewable energy resources. --- Electric power production. --- Electronic circuits. --- Power electronics. --- Renewable energy sources. --- Alternate energy sources. --- Green energy industries. --- Renewable and Green Energy. --- Power Electronics, Electrical Machines and Networks. --- Circuits and Systems. --- Energy Technology. --- Photovoltaic power systems --- Technological innovations. --- Photovoltaic energy systems --- Photovoltaic facilities --- Photovoltaic power plants --- Photovoltaic solar generating plants --- Power plants, Photovoltaic --- Power systems, Photovoltaic --- Power-plants --- Production of electric energy or. --- Systems engineering. --- Energy Systems. --- Engineering systems --- System engineering --- Engineering --- Industrial engineering --- System analysis --- Alternate energy sources --- Alternative energy sources --- Energy sources, Renewable --- Sustainable energy sources --- Power resources --- Renewable natural resources --- Agriculture and energy --- Design and construction --- Energy systems. --- Electron-tube circuits --- Electric circuits --- Electron tubes --- Electronics --- Electronics, Power --- Electric power

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This book collects the latest theoretical and technological concepts in the design and control of various linear machines and drive systems. Discussing advances in the new linear machine topologies, integrated modeling, multi-objective optimization techniques, and high-performance control strategies, it focuses on emerging applications of linear machines in transportation and energy systems. The book presents both theoretical and practical/experimental results, providing a consistent compilation of fundamental theories, a compendium of current research and development activities as well as new directions to overcome critical limitations.

Production of electric energy or. --- Mathematical optimization. --- Electronic Circuits and Devices. --- Power Electronics, Electrical Machines and Networks. --- Control and Systems Theory. --- Optimization. --- Optimization (Mathematics) --- Optimization techniques --- Optimization theory --- Systems optimization --- Mathematical analysis --- Maxima and minima --- Operations research --- Simulation methods --- System analysis --- Electronic circuits. --- Power electronics. --- Control engineering. --- Control engineering --- Control equipment --- Control theory --- Engineering instruments --- Automation --- Programmable controllers --- Electronics, Power --- Electric power --- Electronics --- Electron-tube circuits --- Electric circuits --- Electron tubes