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Titlebook: Topaz; General Planning Tec John F. Brotchie,John W. Dickey,Ron Sharpe Book 1980 Springer-Verlag Berlin Heidelberg 1980 Regionalplanung.Sta

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书目名称Topaz
副标题General Planning Tec
编辑John F. Brotchie,John W. Dickey,Ron Sharpe
视频video
丛书名称Lecture Notes in Economics and Mathematical Systems
图书封面Titlebook: Topaz; General Planning Tec John F. Brotchie,John W. Dickey,Ron Sharpe Book 1980 Springer-Verlag Berlin Heidelberg 1980 Regionalplanung.Sta
出版日期Book 1980
关键词Regionalplanung; Stadtplanung; Standort; energy; entropy; evaluation; growth; hospital; information; informat
版次1
doihttps://doi.org/10.1007/978-3-642-51574-3
isbn_softcover978-3-540-10020-1
isbn_ebook978-3-642-51574-3Series ISSN 0075-8442 Series E-ISSN 2196-9957
issn_series 0075-8442
copyrightSpringer-Verlag Berlin Heidelberg 1980
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John F. Brotchie,John W. Dickey,Ron Sharpemathematical background needed for variational methods.WrittThis book presents a unified view of image motion analysis under the variational framework. Variational methods, rooted in physics and mechanics, but appearing in many other domains, such as statistics, control, and computer vision, address
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John F. Brotchie,John W. Dickey,Ron Sharperum accessible for practical imaging. Applications are emerging, notably in the biomedical domain. In this chapter the technique of terahertz-pulsed imaging is introduced in some detail. The need for special computer vision methods, which arises from the use of pulses of radiation and the acquisitio
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John F. Brotchie,John W. Dickey,Ron Sharpeed methods that are designed to work directly in relational The book presents selected methods for accelerating image retrieval and classification in large collections of images using what are referred to as ‘hand-crafted features.’ It introduces readers to novel rapid image description methods base
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John F. Brotchie,John W. Dickey,Ron Sharpeng via deep learning and neural networks.Offers learning assBased on the successful 2014 book published by Apress, this textbook edition is expanded to provide a comprehensive history and state-of-the-art survey for fundamental computer vision methods and deep learning. With over 800 essential refer
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