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Titlebook: Computational Proximity; Excursions in the To James F. Peters Book 2016 Springer International Publishing Switzerland 2016 Description.Desc

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發(fā)表于 2025-3-21 17:57:09 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Computational Proximity
副標(biāo)題Excursions in the To
編輯James F. Peters
視頻videohttp://file.papertrans.cn/233/232925/232925.mp4
概述Introduces descriptive proximity spaces and the generation of set patterns in proximity spaces, leading to new forms of topological spaces and new forms of algebraic structures such as near groups use
叢書名稱Intelligent Systems Reference Library
圖書封面Titlebook: Computational Proximity; Excursions in the To James F. Peters Book 2016 Springer International Publishing Switzerland 2016 Description.Desc
描述.This book introduces computational proximity (CP) as an algorithmic approach?to finding nonempty sets of points that?are either close to each other or far apart.?Typically in computational proximity, the book?starts with some form of proximity space (topological space equipped with a?proximity relation) that has an inherent geometry. In CP,?two types of near sets?are considered, namely, spatially near sets and descriptivelynear sets. It is shown that connectedness, boundedness, mesh nerves, convexity, shapes and shape theory are principal topics in the study of nearness and separation of physical aswell as abstract sets. CP has a hefty visual content. Applications of CP in computer vision, multimedia, brain activity, biology, social networks, and cosmology are included.?The book has been derived from the lectures of the author in a graduate course on the?topology of digital images taught over the past several years. Many of the?students have provided important insights and valuable suggestions.?The topics in this monograph introduce many forms of proximities with a?computational flavour (especially, what has become known as the strong contact?relation), many nuances of topological
出版日期Book 2016
關(guān)鍵詞Description; Descriptive Proximity Spaces Dense; Finite; Framework; Infinite; Intelligent Systems; Near Se
版次1
doihttps://doi.org/10.1007/978-3-319-30262-1
isbn_softcover978-3-319-80764-5
isbn_ebook978-3-319-30262-1Series ISSN 1868-4394 Series E-ISSN 1868-4408
issn_series 1868-4394
copyrightSpringer International Publishing Switzerland 2016
The information of publication is updating

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書目名稱Computational Proximity網(wǎng)絡(luò)公開度學(xué)科排名




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書目名稱Computational Proximity讀者反饋學(xué)科排名




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Book 2016r far apart.?Typically in computational proximity, the book?starts with some form of proximity space (topological space equipped with a?proximity relation) that has an inherent geometry. In CP,?two types of near sets?are considered, namely, spatially near sets and descriptivelynear sets. It is shown
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Strongly Near Sets and Overlapping Dirichlet Tessellation Regions,natural outcome of an image tessellation is an approximate image segmentation. The segments in this case are the byproduct of various forms of Vorono? and Delaunay mesh cells containing all of those image pixels nearest to each mesh generating point.
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James F. PetersIntroduces descriptive proximity spaces and the generation of set patterns in proximity spaces, leading to new forms of topological spaces and new forms of algebraic structures such as near groups use
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Intelligent Systems Reference Libraryhttp://image.papertrans.cn/c/image/232925.jpg
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Alexandre Dolgui,Dmitry Ivanov,Boris Sokolovmpally (Som)?(Beer et al., Topol Appl 188:97–109, 2015), [.]. This is a remarkable story of a mathematician who began studying proximity space theory after he completed his Ph.D. as a result of a chance meeting at the University of Michigan between Som and a visitor from Cambridge University Press,
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