Titlebook: Switching Networks: Recent Advances; Ding Zhu Du,Hung Q. Ngo Book 20011st edition Kluwer Academic Publishers 2001 calculus.communication.c

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书目名称Switching Networks: Recent Advances影响因子(影响力)




书目名称Switching Networks: Recent Advances影响因子(影响力)学科排名




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书目名称Switching Networks: Recent Advances网络公开度学科排名




书目名称Switching Networks: Recent Advances被引频次




书目名称Switching Networks: Recent Advances被引频次学科排名




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书目名称Switching Networks: Recent Advances年度引用学科排名




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书目名称Switching Networks: Recent Advances读者反馈学科排名

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Artur Czumaj,Przemka Kanarek,Krzysztof Loryś,Miroslaw Kutylowski features have become much more precise but also bulkier, and the similarity computations more time-consuming. While the . nearest neighbours (.NN) search dominates the real-life applications, we claim that it is principally free of a need for precise similarity quantifications. Based on the well-kn

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Sartaj Sahnihanisms derive from this property, generally known as pivot exclusion and hyperplane exclusion. These mechanisms work in any proper metric space and are the basis of many metric indexing mechanisms. More recently, the Ptolemaic and four-point lower bound properties have been shown to give tighter bo

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Ding-Zhu Du,P. C. Fishburn,Biao Gao,F. K. Hwangtion defined over the space, therefore each element of the space is contained within precisely one of the equivalence classes of the partition. All attempts to search a finite space efficiently, whether exactly or approximately, rely on some set of principles which imply that if the query is within

ferment

Siu-Yu Kwok,Shuo-Yen Robert Liand memory requirements due to the quadratic attention mechanism. Moreover, they design the retrieval as a classification task, assigning a similarity score to pairs of text and images in input. Each query is thus resolved inefficiently by pairing it, at runtime, with every text or image in the enti

时间等

Guo-Hui Linting indexing techniques often assume the metric space model that could be too restrictive from the domain point of view. Hence, many modern applications that involve complex similarities do not use any indexing and use just sequential search, so they are applicable only to small databases. In this

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Yuanyuan Yangd for just a handful of dissimilarities for which locality-sensitive families are available. In this work we propose Parallel Voronoi LSH, an approach that addresses those two limitations of LSH: it makes LSH efficient for distributed-memory architectures, and it works for very general dissimilariti

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Przemka Kanarek,Krzysztof Loryśnterpolative reasoning. Compositional inference originated as a generalization of binary logical deduction to fuzzy logic. Compatibility modification was developed to facilitate the evaluation of rules by separating the evaluation of the input from the generation of the output. The first step in com